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Technical Lead Backend Jobs

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Explore current technical lead backend jobs. Use filters to narrow by work mode, employment type, experience and date posted.

C
5mo ago

Shape the Future of Financial Services with Capco At Capco, we specialize in management consulting and software development, partnering with leading international banks and insurance companies across Western Europe. Our innovative approach and collaborative culture make us the ideal place for professionals looking to make an impact in financial services technology. Want to learn more about our culture and people? Visit us: Capco Careers Slovakia Why Join Us? Prestigious Clients & Exciting Projects – Work with top-tier banks on transformation projects that redefine financial services. Continuous Learning & Development – Access to technical and soft skills training, professional certifications, and full access to the Udemy online learning platform. Flexible Work Environment – we provide flexibility to work remotely from the home office within Czech Republic. Attractive Benefits Package: ✅ Paid sick days ✅ 25 vacation days (regardless of age) ✅ Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar ✅ Fully paid meal vouchers ✅ Multisport card with employer contribution ✅ Smartphone with 1TB data + Laptop Well-being & Community Engagement – Join mental health webinars, running challenges, sports activities, or participate in our volunteering days. Competitive Compensation (adjusted based on experience) + annual bonus & benefits package. Long-term career – Indefinite period contract with opportunities for career growth. Role Description Build tailored Java SE/EE and Spring Boot solutions that keep modern banks running smoothly Write and run thorough unit tests to ensure your code is rock solid and reliable Share your knowledge and offer practical guidance on implementing best practices Own key configuration tasks that ensure our solutions are optimized, stable, and aligned with client needs Analyze change requests and defects, and turn them into opportunities to make the system better and more efficient This is a l

javareactangular
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C
Capco
📍 India• Full-time
1mo ago

JD - Financial Accounting Preparation & consolidation for Annual Reports & accounts Strong analytical skills for variance analysis. Preparation of advanced level Analytical Review (“AR”) and Group Review Schedules (“GRS”) for Regional submission on quarterly basis Review and Approval of all journals Strong technical knowledge of Accounting and reporting principles. In-depth functional experience in accounting for all balance sheet / income statement heads Ability to meet KPI timelines including under stringent time lines and high pressure situations Excellent communication skills to be able to manage the In-country team on a daily basis. Drive new projects/assignments/process: Identify, Drive, Build & operate it as BAU The ability to work to a high degree of accuracy under pressure is important as during the reporting periods the team is required to meet tight deadlines. Ability to prioritize and plan work in an efficient manner Performing UAT/Dry Runs on different Change requests Reporting & Data Management - Experience in Data mining, analysis, Financial Statements, IFRS and Audit/Compliance Ability to plan and implement change to Business Frameworks, reporting hierarchies, allocation rules and mappings Good communication and ability to interact with multiple employee levels/business partners, etc. Strong relationship management skills across a diverse organization, especially with senior management Ability to understand, map and change reporting process-flows Experience of Visualization tools like Qlik Sense, Tableau, Power BI, Vizlib, Looker or similar tools will be added advantage Business Finance Actuals Reporting (Global, by region, by product, by segment) and BAU change initiatives Drive Reporting improvements incorporating feedback from CFO, business reviews, process changes from transformation initiatives that impact business reporting from time to time Data management processes that involve Submissions to Financial and report

pythonsqlai
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C
Capco
📍 Poland• Full-time
6mo ago

CAPCO POLAND *We are looking for Poland based candidate. Capco is a fully independent, global management and technology consultancy. For 25 years we have combined innovative thinking with deep industry knowledge to deliver business consulting, digital transformation and technology services to Finance and Energy markets. Our collaborative and efficient approach helps clients reduce costs and manage risk and regulatory change while increasing revenues. We are thinkers, innovators, and disruptors. We are small enough to care but large enough to matter. As an IT Security Analyst , you will play a key role in supporting a large-scale Secrets & Credential Management initiative. You will analyze current-state environments, identify control gaps, and define robust, scalable security requirements. Working across technical and business teams, you will help ensure that sensitive credentials are governed, controlled, and aligned with regulatory and operational expectations. Key Responsibilities: Conduct end-to-end analysis of secrets and credential management practices across applications, infrastructure, and platforms Identify, classify, and document secrets, including ownership, usage, storage, lifecycle stage, and associated risks Assess control gaps (e.g., unmanaged credentials, hardcoded secrets, weak auditability) and define remediation approaches Define functional and non-functional requirements for centralized secrets management solutions Facilitate workshops with stakeholders to gather requirements, validate findings, and support governance activities Required Skills and Experience: At least 5 years of experience in a similar role. At least 2 years of experience in working with IAM projects. Experience in IT security analysis, security requirements engineering, or security governance within complex environments Strong understanding of IAM, PAM, least privilege, and secure access governance principles Knowledge of credential types (passwords, SSH

gitgofinance
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P
Prophecy
📍 Bengaluru• Full-time
2mo ago

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn. Position Summary This is an exceptional opportunity to be a technical leader on the team that powers the heart of Prophecy: the Runtime, our orchestration and execution service. Every data workflow , whether generated by our AI data agents or built by a human in the visual editor , is planned, scheduled, and run at enterprise scale by Runtime, directly against the customer's own platform (Databricks, Snowflake, BigQuery, and more). When a business user asks an agent a question and sees trusted results seconds later, Runtime is what made it happen. As a Staff Engineer, you will set the technical direction for this service: the distributed execution engine, the task coordinator, the multi-engine connectors, and the fast interactive previews that make the AI-native experience feel instant. You will own hard, ambiguous, high-leverage problems end-to-end , from architecture to production reliability , and raise the bar for the engineers around you. We're seeking A players to work with A players. We're a high-growth company on a once-in-a-lifetime journey to revolutionize the way data is prepared and analyzed. Be a part of it. The impact you will have Own the engine behind the product. Architect and evolve the runtime service that turns agent- and human-authored data workflows into high-performance jobs that run reliably in production and interactively during authoring. This is deep-tech at the center of the platform. Make it fast and make it scale. Design the distributed execution and task-coordination layer , schedul

pythonjavarest
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DM
3mo ago

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last-mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role This is an entry-level role designed for individuals beginning their career in remote operations or autonomous systems. As a Remote Assistance Operator I, you will support day-to-day remote assistance operations by monitoring autonomous robots, following established workflows, and escalating issues to shift leads when needed. This role focuses on learning core tools, safety standards, and operational procedures while working closely with experienced operators and shift leads. Shift This is a night shift role and requires flexible availability, including evenings, weekends, and holidays. Typical hours are 4 PM to 12 AM CST, five days per week. What You’ll Do Monitor autonomous robots using remote assistance tools and dashboards Follow step-by-step procedures to support standard operational scenarios Escalate technical or operational issues to shift leads or senior operators Accurately document observations, incidents, and actions taken Follow safety protocols and communication guidelines at all times Learn and adapt to new tools, workflows, and process updates What You Bring Required Qualifications Education: High School Diploma, GED, or local equivalent. Driver's License: Valid driver's license Language & Communication: Proficiency in English (B2 level or higher, written and spoken) for effective communication and documentation. Technical Skills: Basic computer proficiency and comfort using web-based tools Problem-Solving & Critical Thinking: Strong attention to detail and ability to follow defined processes Safety & Public Interaction: Ability to remain calm and professional in live operational environments Work Environment: Willingness to work nights, weekends, an

REMOTEExcellogisticsrecruitment
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TI
TEGNA India
📍 Chennai• Full-time
2mo ago

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Senior Backend Java Developer Position Summary TEGNA is looking for an experienced Senior Backend Java Developer to join our highly collaborative and agile engineering team. This role is ideal for someone who enjoys solving complex technical challenges and building scalable backend platforms in high-performance environments. You will work on designing and developing cloud-native applications and distributed systems while collaborating across engineering teams to deliver reliable and innovative solutions. What You’ll Do • Design, develop, and implement scalable backend services using Java, Spring Boot, and AWS. • Build and optimize microservices-based architectures to support high-performance applications. • Develop reliable and scalable solutions for distributed systems operating in high-traffic environments. • Partner with cross-functional teams to understand requirements and deliver quality solutions. • Improve application performance, resiliency, scalability, and system reliability. • Participate in code reviews and contribute to engineering best practices and quality standards. • Drive continuous improvements through emerging technologies and modern development practices. • Support cloud deployment, monitoring, and operational excellence initiatives. What You’ll Bring • Bachelor’s or master’s degree in computer science, Software Engineering, or

DM
2mo ago

About the Team The Campaign Operations team’s mission is to deliver high-quality, relevant communications that meet the needs of our customers around the world. We build, test, and launch the retention marketing campaigns designed by our Lifecycle Marketing partners, and we’re focused on getting every campaign to the right audience on time and with strong craft. We’re growing our team of technical CRM specialists in Mexico City to support that mission. About the Role As an Associate, Campaign Operations, you will help build, test, and launch retention marketing campaigns using our email service platform (ESP), Braze, working from designs created by our Lifecycle Marketing partners. You’ll support the Campaign Operations Manager and our Lifecycle Marketing partners to help each campaign clear quality review and reach customers on time. This is a hands-on, individual-contributor execution and quality-review role, distinct from brand, content, social media, or performance-marketing positions, and a strong fit for someone early in their CRM or lifecycle-marketing career. This role will report to the Campaign Ops Manager who sits in Mexico City. You’re excited about this opportunity because you will… Help build, test, and launch retention marketing campaigns across email, push notification, and in-app channels using Braze and our internal tools. Support the quality-review process for each campaign, working with designers and copywriters and helping build the audience segments each campaign needs. Partner with our Lifecycle Marketing, Martech, Data Science, Product, Engineering, and Design teams on campaign goals and creative execution. Help monitor campaign performance and share ideas that improve quality, craft, and efficiency for future campaigns. Grow your CRM and campaign-operations skills by learning our internal marketing tools in depth and taking on more ownership over time. We’re excited about you because… 1+ years of experience in marketing, CRM, or lifecy

About the Team The DoorDash Campaign Operations team’s mission is to efficiently deliver high quality, relevant CRM communications that meet the needs of our audiences, globally. To accomplish this mission, we’re building a team of technical CRM and lifecycle marketing experts who build, QA, and launch email, push, SMS, and in-app campaigns designed by our Lifecycle Marketing partners. This team is goaled on high-quality campaign delivery and operational efficiency so that each campaign reaches the correct audience on-time with excellent craft. About the Role As the Senior Associate, Campaign Operations, you will be responsible for building, testing, and launching CRM and Lifecycle Marketing campaigns designed by our Lifecycle Marketing partners. This is a hands-on CRM execution and QA role — not a brand, content, social media, performance-marketing, or campaign-strategy position. You will partner closely with the Lifecycle Marketing team and Project Managers to ensure each campaign has completed all required steps prior to launch, and is delivered on time to the end-consumer, with high quality and excellent craft. You will be responsible for the high quality campaign delivery rate and production efficiency of each campaign launch. This role will report to the Campaign Ops Manager who sits in Mexico City. You’re excited about this opportunity because you will… Campaign QA & Execution: Build, test, and launch CRM and lifecycle marketing campaigns across email, push notifications, SMS, in-app messaging, and other channels using Braze and in-house tools. Own the end-to-end QA review process, build target audience segments and personalization logic, and collaborate with designers and copywriters to execute against the campaign brief. Cross-functional Collaboration: Partner with teams such as Lifecycle Marketing, Martech, Data Science, Product, Engineering, and Design to align on CRM campaign goals, audience segmentation, and creative execution. Performan

salesforceExcellogistics
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Guidepoint
📍 Toronto• Full-time• C$135K – C$210K/yr
3mo ago

Overview: Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production

pythonreactaws
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G
Guidepoint
📍 Toronto• Full-time• C$135K – C$210K/yr
3mo ago

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

pythonreactaws
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DU
DoorDash USA
📍 San Francisco• Full-time• $130.6K – $192K/yr
3mo ago

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

pythonjavasql
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DU
DoorDash USA
📍 San Francisco• Full-time• $130.6K – $192K/yr
27mo ago

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Senior Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. This is a hybrid position and you must be located in Sunnyvale, San Francisco, or Seattle. You're excited about this opportunity because you will... Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because... 5+ years of professional experience 3+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-tec

pythonjavasql
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DU
DoorDash USA
📍 San Francisco• Full-time• $78.2K – $115K/yr
1mo ago

About the Team Our sales and partner management teams are the heart and soul of DoorDash, enabling us to sign and partner with top restaurants across the country to drive revenue and help our partners operate and grow their businesses. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role DoorDash is looking for a strong individual contributor within Sales Strategy - Sales Planning & Incentives, to execute top company business objectives and help define our sales strategy and planning roadmap. Your responsibilities will range from strategic (designing quotas and incentives aligned to the company's goals and strategy, integrating new products into sales GTM strategy and building consensus among sales leadership) to operational (forecasting, designing compensation plans, driving plan implementation and ensuring key metrics can be communicated, tracked and commissions calculated). You will bring a strategic mindset and deliver critical insights using analytical and technical support to the successful administration of sales incentive programs globally while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. This role specifically supports our US SMB Presales organization spanning multiple sales motions and role types. You'll be a planning and strategy partner for a high-velocity, high-volume sales motion where quota attainment, goaling accuracy / consistency, and rep productivity are the north stars. This role will report into a Senior Manager, Sales Strategy and Planning. You’re excited about this opportunity because you will… Work closely with sales leadership, sales strategy, finance, and product teams to own the development, implementation and administration of new and existing sales incentive structures Work closely with cross-functional partners (product, finance, sales, sales operations) to build a

sqlawsgit
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PI
Pratham International
📍 India• Full-time• Remote
5mo ago

About Pratham International Pratham International (PI) is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation, such as Teaching at the Right Level (TaRL), to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Description of the Role / Role Purpose Pratham International is seeking a highly organized Executive Assistant to support its global leadership team. This role is established as a centralized team resource rather than a traditional personal assistant role. You will act as the logistical anchor for the Executive Group (EG), ensuring seamless operations across scheduling, international travel, and board schedules. The successful candidate will be a proactive partner to leadership, capable of managing complex logistics across multiple time zones and providing high-level administrative support to board committees. Major Roles and Responsibilities Shared Executive Scheduling (30%) Calendar Management: Manage complex scheduling requests for multiple members of the leadership team, prioritizing external partner and donor meetings. Global Coordination: Resolve conflicts and schedule calls across India, US, LAC, and Africa time zones and across Pratham entities as needed. Workspace Management : Coordinate logistical bookings for team-wide meetings (e.g., securing venues like Work Bar) and communicate details to the broader staff. International Travel & Logistics (outside India) (25%) End-to-End Travel Support: Manage international travel for leadership, including flights, visas, accommodations, and ground transportation. Expense Management: Process travel expenses and ensure timely reporting and reimbursement. Spec

REMOTElogistics
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DU
DoorDash USA
📍 San Francisco• Full-time• $130.6K – $192K/yr
22mo ago

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Softare Engineer II to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs. You're excited about this opportunity because you will… Work with business partners and stakeholders to understand data requirements Work with engineering, product teams and 3rd parties to collect required data Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We're excited about you because… 3+ years of professional experience working in data engineering, business intelligence, or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Proficiency in programming languages such as Python/Java 3+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP Expert in Database fundamentals, SQL and distributed computing 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink. Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS

pythonjavasql
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