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Python Backend Engineer in Warsaw

45 active opportunities · Updated for October 2026

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Explore current python backend engineer jobs in Warsaw. Use filters to narrow by work mode, employment type, experience and date posted.

C
Coder
📍 Warsaw• Full-time• Remote• PLN 266K – PLN 360K/yr
1mo ago

Coder is looking for a Customer Support Engineer to join our dynamic, collaborative team. In this pivotal role, you’ll work hand-in-hand with our Product and Customer Success teams, making a direct and lasting impact on our fast-growing business. As part of a small, agile group, your expertise will be highly visible, helping shape the future of our Customer Support function. We’re looking for someone who thrives in a fast-paced environment built on open communication, continuous learning, and creative problem-solving. You are proactive, detail-oriented, tactful, and endlessly curious about new technologies. With a natural instinct for automation, process improvement, and exceptional customer experiences, you’ll troubleshoot complex issues, deliver timely and effective solutions, and communicate with clarity and empathy. Above all, you’ll be a passionate advocate for our customers by driving satisfaction, fostering success, and elevating the support experience at every touchpoint. What you’ll do here Reproduce and debug customer issues by building or using existing test environments and tools Communicate tactfully with customers Gather information, provide diagnostic and resolution steps, convey process and product guidance and follow up after issues are resolved Solve incoming technical support requests in a timely manner, including high-severity urgent cases Identify and communicate product usage trends, bugs and feature requests Guide and mentor new team members on processes and procedures Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls Document and record all activity with customers in accordance to both internal and external security standards Help build out the scope of the team by contributing to product documentation, customer knowledge base, and best practices guides Continuously improve process and tools in collaboration with the team Periodic on-call rotation for production-down issues What we’re look

REMOTEpythonkubernetesai
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S
Snowflake
📍 Warsaw• Full-time• Remote
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev

REMOTEpythonjavakubernetes
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W
1mo ago

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę) . Please note that this is a hybrid role , requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week . We are not considering fully remote or B2B arrangements for this position. About Open Intelligence : We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry. Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the po

pythongcpkubernetes
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W
WPP
📍 Warsaw• PLN 11.5K – PLN 25K/yr
1mo ago

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. This is a full-time position offered exclusively on a Contract of Employment (Umowa o Pracę) . Please note that this is a hybrid role , requiring employees to work from our Warsaw office (Centrum Koneser) at least 3 days per week . We are not considering fully remote or B2B arrangements for this position. About Open Intelligence : We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry.Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population

pythongcpkubernetes
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What is Box? Box (NYSE: BOX) is the leader in Intelligent Content Management. Our platform enables organisations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organisations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: As a Senior Software Engineer on the Partner Integrations team at Box Poland, you'll be part of a team that builds and maintains apps, product integrations, and frameworks for Box's most strategic partners — including big tech companies. In this role, you will work on medium and large-scale projects alongside a dedicated development team and Product Manager, driving the development of new integration versions that bring new features and capabilities to our partners. The Partner Integrations team is a pillar of the company, and your work will have a direct and meaningful impact on how Box's platform extends into the broader ecosystem. What you'll do: Attend and engage in daily stand-ups, maintain sprint tasks, and keep your work visible and up t

pythonjavareact
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S
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake customers run more than 3.9 billion queries and 515 million data workloads each day. To support this workload, our globally deployed infrastructure spans multiple cloud providers and manages hundreds of thousands of VMs. Join the Snowflake team to build the Data Cloud Platform at an exceptional scale. We are hiring talented Software Engineers for our Cloud Infrastructure Engineering teams. If you are passionate about solving complex infrastructure challenges by using software engineering expertise, this opportunity may be for you. Our Cloud Infrastructure Engineering Teams are focused on things like: simplifying our large-scale infrastructure for the other development teams to use building services that improve the reliability of Snowflake by protecting us from the cloud providers issues enabling Snowflake services to operate globally across multiple cloud providers managing complicated infrastructure changes at the scale a few companies can match keeping the SLOs of our infrastructure and services at a very high bar defining the OS and containerization layer for all of Snowflake’s services All Cloud Infrastructure Engineering Teams aim to optimize and evolve our infrastructure's reliability, availability, serviceability, performance, and cost efficiency. AS A SOF

pythonjavaaws
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A
Asana
📍 Warsaw• Full-time• $250K – $360K/yr
2mo ago

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Design, implement and scale end-to-end data products that support growing data processing and analytical needs. Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams. Leverage AI to build self-serve tools and accelerate Data/GTM workflows. Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution. Implement systems that guarantee data quality, governance, and availability. About you 3+ years of hands-on experience in Data Engineering or Software Engineering. Degree in computer science, engineering or equivalent technical field experience. Proficient in cloud-based data processing and storage technologies like Databricks, Spark, Airflow. Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java). Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively. Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders. Demonst

pythonjavasql
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S
2mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake's Developer Platform team is on a mission to win the hearts and minds of developers by making it seamless and intuitive to build with data. This is a role for a product manager who is passionate about building the foundational tools and infrastructure that power the developer experience on Snowflake and wants to take ownership of mission-critical features. The Developer Platform's vision is to deliver an exceptional, developer-first experience built on a foundation of simplicity, familiarity, and ease of use. The Client Side Interfaces group owns the connectivity and programmatic surfaces through which developers, data engineers, and automation systems interact with Snowflake — including the Terraform provider, Snow CLI, Tableau connector, and SQLAlchemy dialect. As a PM on this team, you will take ownership of a specific feature area and be responsible for the end-to-end product lifecycle, partnering closely with a dedicated engineering team to translate high-level strategy into a concrete roadmap and ship features that solve real, complex developer problems. As a Product Manager on the Developer Platform, you will: Own the product backlog and day-to-day execution for a key feature area of the Client Side Interfaces portfolio. Translate product strategy into deta

pythonsqlci/cd
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. WHAT WE OFFER Paid, full-time internships Post-internship career opportunities (full-time or part-time) Exposure to a fast-paced, fun, and inclusive culture A chance to work with world-class security experts on challenging, high-impact projects Opportunity to provide meaningful contributions to a real system used by customers High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation Treated as a full member of the Snowflake team: company meetings and activities, flexible hours, casual dress code, swag, and much more Warsaw office perks: catered lunches, access to recreational games, happy hours, company outings, and more WHAT WE EXPECT Must be actively enrolled in an accredited college/university program during the internship period Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field Required coursework: algorithms, data structures, and operating systems Recommended coursework: information security, cryptography, cloud computing, database systems, or distributed systems Duration: 4 months + recommended Strong programming skills in Python or Java Solid knowledge of data structures and algorithms; familiarity with

pythonjavaaws
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S
2mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are building a high-impact team to help the world’s most innovative companies unlock the power of AI. As a Forward Deployed Engineer, Applied AI in our Cortex AI team, you will be a hands-on builder and a critical technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just be working with cutting-edge technology; you will be deploying it to solve real-world business problems at a massive scale. This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Build and iterate on AI pipelines and agents within a team-led engagement from prototype to production, contribute to evaluation frameworks and observability infrastructure most complex business challenges. Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL. Productionize AI at Scale: Own the full lifecycle o

pythonjavasql
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P
3mo ago

SDLC Engineer A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. What You’ll Do • Provide expert technical support for our enterprise Software Development Life Cycle (SDLC) platforms including Jenkins, GitHub, Bitbucket, and AWS-based CI/CD pipelines • Support and optimize our artifact management solutions (Artifactory) and static code analysis tools (SonarQube) • Partner directly with business teams and development clients to address SDLC platform challenges and deliver effective solutions • Implement and maintain security controls across our development toolchain and infrastructure • Develop automation solutions to eliminate toil and enhance developer productivity • Troubleshoot complex build, deployment, and integration issues across our development environments • Contribute to continuous improvement of our AWS-based development infrastructure • Maintain documentation and knowledge base for supported platforms and tools What’s Required • 5+ years of experience in software engineering, DevOps, or SRE roles • Strong technical expertise in AWS services and cloud-native architectures • Experience with container technologies (Docker, ECS, EKS) and container orchestration • Deep understanding of Git workflows, branching strategies, and version control best practices • Strong hands-on programming/scripting skills (Python, Go, or similar), with ability to debug and build automation for CI/CD pipelines • Experience with infrastructure as code (Terraform, CloudFormation) in AWS environments •

pythonawsdocker
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S
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are building a high-impact team to help the world’s most innovative companies unlock the power of AI. As a Forward Deployed Engineer, Applied AI in our Cortex AI team, you will be a hands-on builder and a critical technical partner to our most strategic customers, placing you at the forefront of the enterprise AI revolution. You won't just be working with cutting-edge technology; you will be deploying it to solve real-world business problems at a massive scale. This role places you at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and our native LLM capabilities. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Drive Customer Impact: Architect, build, and deploy enterprise-grade AI solutions, including sophisticated AI agents. Build and iterate on AI pipelines and agents within a team-led engagement from prototype to production, contribute to evaluation frameworks and observability infrastructure most complex business challenges. Deliver with Velocity: Rapidly design, iterate, and ship high-quality code and ML pipelines. Translate ambiguous business objectives into robust, scalable, and performant solutions using Python and SQL. Productionize AI at Scale: Own the full lifecycle o

pythonjavasql
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M
Mongodb
📍 Warsaw• Full-time• PLN 287K – PLN 426K/yr
3mo ago

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Warsaw for our hybrid working model. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to

pythonjavanode.js
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re hiring a talented Senior Software Engineer to help us build a world-class security experience for Snowflake engineers. As an engineer in the Product Security team, you will play a central role in delivering the next generation of tools used by our engineers to develop and secure our flagship product. Together with industry-wide experts in distributed systems, cross-cloud development and security excellence, you will evolve our security infrastructure and tooling to be elastic, large-scale, and highly performant with simplicity at its core. As a software engineer in the Product Security Team, you will help Snowflake realize its mission and vision of becoming the premier Data Cloud by accelerating the delivery of our high-quality software to production. You will be a key stakeholder in driving clarity on our strategy and partner with product managers to chart the quarterly and long-term roadmaps for the team. You will ensure that the team is executing towards serving the current needs of its customers, while ensuring that we stay ahead of technological trends and future demands, including AI security and security for AI-driven systems. Our ideal Senior Software Engineer will have: Strong passion for making developers highly productive. 6+ years of industry experience de

pythonjavaaws
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A Career with Point72's Trading Research Team WHAT YOU'LL DO Build and scale the research-to-trading platform that enables to support the design, testing, and deployment of quantitative strategies from prototype to production Design and implement high-performance analytics and pricing libraries in C++ and Python to support back testing, simulation, and real-time decision making Partner with investment professionals across the global business to translate ideas into robust, production-grade code and reproducible experiments Develop and maintain data pipelines and storage solutions that ingest, validate, and serve large historical and real-time market datasets Deploy, monitor, and operate production services, including automated testing, release processes, and incident response Drive performance and latency optimizations across code paths and infrastructure using profiling and benchmarking techniques Create tooling for experiment management, post-trade analysis, and model validation to measure strategy behavior and market impact Lead and contribute to the technical roadmap, increasing automation, resilience, and scalability of the research infrastructure Mentor junior developers, share best practices for software engineering, and promote a culture of continuous improvement and technical excellence WHAT'S REQUIRED Bachelor’s degree or higher in computer science, engineering, mathematics, physics, or a related quantitative discipline 3+ years of professional software engineering experience building production systems in a collaborative environment Strong proficiency in Python for data analysis and tooling and fluency in modern C++ for performance-sensitive components Practical experience building and querying relational databases or columnar data stores using SQL and hands-on experience with Linux development Proven experience designing and operating production services, including testing, deployment, and monitoring practices Demonstrated ability to profile, debug, and

pythonsqllinux
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