Warehouse Associate Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. What you'll do We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edg

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Role Overview We are building one of India's largest commercial video data collection networks . As a Zonal Data Captain , you will own the business pipeline for your assigned zone . Your primary responsibility is to find businesses, convert them for on-site video data collection, and keep the recording engine in your territory active every single day . You will spend your days in the field meeting business owners, converting them, and expanding into new towns mapped to your zone . Core Compensation & Target Fixed Salary: ₹25,000 / month Performance Incentives: Up to ₹95,000 / week* Core Target: 8 business conversions / day *Incentive Note: Incentives are performance-based and linked to verified conversions, recorded hours generated from your converted businesses, and quality/consistency of execution . All conversions and hours are subject to verification before payout . A detailed slab structure will be shared at the offer stage . What You'll Do 1. B

Senior Manager, Logistics Security Description - At HP, we create technology that helps people and businesses bring their ideas to life. Our global supply chain plays a vital role in that mission, moving high-value products safely and reliably to customers around the world. We are looking for a collaborative and solutions-oriented Senior Manager, Logistics Security to help protect our logistics network, strengthen transportation risk programs, and lead efforts that reduce loss, improve carrier performance, and support a secure customer experience. Core responsibilities Own logistics security strategy for HP's transportation network. Manage loss, theft, damage, shortage and mis-delivery incidents across carriers, warehouses and distribution partners. Lead transportation claims management, including investigation, documentation, recovery and settlement. Manage relationships with major LSPs, carriers, freight forwarders and 3PLs. Investigate high-value shipment incidents and identify root causes. Develop controls to prevent cargo theft, fraud, unauthorized access and product diversion. Establish security standards for transportation lanes, warehouses and high-risk locations. Track claims and losses using KPIs such as: Claim $ / shipment Loss rate Damage rate Theft incidents Recovery % Claim cycle time Carrier performance Partner with Supply Chain, Logistics, Finance, Legal, Compliance, Security and Insurance teams. Lead corrective/preventive actions with logistics service providers. Review carrier contracts and ensure appropriate liability and insurance coverage. Establish escalation processes for major incidents. Conduct risk assessments of logistics providers and distribution locations. Use dat

JOB TITLE: Senior Security Data Engineer CLASSIFICATION: Exempt Approved by: Jitendra Patil EXPERIENCE: 5–10 Years Approved Date: REPORTS TO: Shivendra Ashish Revised Dates: POSITIONS SUPERVISED: Core Responsibilities: Pipeline Management: Maintain high-throughput streaming pipelines to ingest logs from various sources (Firewalls, Cloud, Endpoints) to a central destination. Log Normalization: Write parsers to convert raw, messy logs into standard schemas (e.g., OCSF or ECS) for consistent querying. Cost Optimization: Implement routing logic to send "high-value" data to the SIEM and "bulk" data to low-cost Object Storage (Data Lake). Data Preparation: Clean and structure data to enable AI/ML detection models and advanced analytics. Must-Have Skills: Data Engineering: Proficiency in Python (for ETL) and SQL (for complex querying). Streaming Tech: Experience with Message Queues (e.g., Kafka, Pub/Sub) and stream processing concepts. Log Handling: Mastery of Regex and log parsing strategies for standard formats (Syslog, CEF, JSON). Storage Architecture: Understanding of Data Lake principles (Parquet/Avro formats) vs. Data Warehouses. Preferred / Nice to Have: Experience with Vector Databases for storing embeddings. Knowledge of Log Observability/Routing tools (middleware that routes logs). Familiarity with Big Data frameworks (e.g., Spark, Flink). Ability to embrace Clearwater's CLEAR core values (Commitment to Client Success, Lead with Accountability, Integrity & Collaboration, Excellence in All That We Do, Advance Colleague Success, Respect & Transparency) and culture. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of colleagues in the role. All colleagues may be required to perform duties outside of their normal responsibilities fr

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are looking for a Staff Systems Engineer - Digital to join our team, the foundational layer that powers access, governance, and intelligence across our digital products. You will work horizontally across engineering, product, and AI teams, leading, owning, and evolving the shared infrastructure that every team at the company depends on. You will be the primary authority on how information is modeled, governed, and served across operational, analytical, and AI workloads - driving quality, compliance, and reliability at scale. If you thrive in a role where your architecture decisions multiply the productivity and capability of entire teams, this is the opportunity for you. Key Responsibilities: Data Architecture & Platform Ownership: Define and own the enterprise data architecture strategy across operational, analytical, and AI/ML workloads Design and govern data models, data contracts, and canonical schemas used across product and platform teams Evaluate and standardize data platform tooling — data lakes, warehouses, streaming, and serving layers (GCP BigQuery, Pub/Sub, Dataflow, or equivalent) Serve as the primary point of contact and SME for shared data platform concerns acro

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Principais responsabilidades Projetar, desenvolver e manter mappings, mapping tasks e taskflows utilizando Informatica IDMC/CDI; Desenvolver pipelines de ETL/ELT para integração de diferentes fontes e destinos; Implementar processos de ingestão, transformação e distribuição de dados; Desenvolver SQL de média e alta complexidade para transformação, análise e validação de dados; Utilizar Python para automações, integrações, validações e processamento de dados; Implementar parametrização e componentes reutilizáveis em pipelines IDMC; Realizar troubleshooting e análise de causa raiz de falhas em processos de integração; x Implementar mecanismos de tratamento de erros, logging, restart e recuperação de processos; Realizar performance tuning e otimização de pipelines e consultas; Implementar validações, reconciliações e controles de qualidade de dados; Integrar soluções com APIs REST/SOAP, bancos de dados, arquivos e aplicações; Participar de processos de deployment e CI/CD; Elaborar documentação técnica e apoiar a definição de padrões de desenvolvimento; Participar do levantamento e refinamento de requisitos junto ao cliente e stakeholders; Apoiar tecnicamente profissionais mais juniores. Requisitos: Experiência prática com Informatica IDMC/IICS e Cloud Data Integration (CDI); Experiência sólida com desenvolvimento de processos ETL/ELT; SQL avançado; Experiência com Python; Experiência com bancos de dados relacionais e Data Warehouses; Conhecimento de Data Lake e arquiteturas Lakehouse; Experiência com integrações via REST APIs e/ou SOAP; Conhecimento de Git e processos de

Job Title: Data Analyst – GCP BigQuery Location : Bangalore Exp : 7 to 11 yrs. About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: We are seeking Data Analyst with strong expertise in Finance/Banking Domain , advanced SQL skills , and hands-on experience with GCP/BigQuery . The ideal candidate will analyze large datasets, generate actionable insights, and partner with UK-based stakeholders to support business and strategic decision-making. Required Technical Skills Strong expertise in SQL . Hands-on experience with Google Cloud Platform (GCP) and BigQuery . Experience working with large-scale datasets, data warehouses Strong understa

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Role The core of Mixpanel’s value to customers has always been great data. We’re in an exciting moment for the way our users are thinking about and working with product data, and we need help figuring out how our position in the data infrastructure stack evolves. That’s why we’re hiring a fantastic Product Manager for Mixpanel Data. In this role, you'll own Mixpanel's strategy and roadmap for where we sit in the data landscape - how our data architecture evolves, where we build versus integrate versus get out of the way, and what it means for Mixpanel to work with data that increasingly lives outside our walls as well as inside them. This is a pathfinding role: a large part of the job is turning ambiguous technical and business tradeoffs into a clear point of view, a roadmap, and decisions the engineering and leadership team can act on. What You'll Do Define and drive Mixpanel's strategy and roadmap for how the product evolves alongside customers' data warehouses, lakes, and the broader modern data stack Turn complex, ambiguous architecture and business tradeoffs into a clear recommendation, grounded in customer evidence, competitive context, and business impact Partner closely with engineering leadership on build-vs-integrate-vs-partner decisions that shape Mixpanel's data architecture for years to come Talk directly to customers and prospects to understand how their data infrastructure and workflows are changing, and translate that into product bets Build the business case for infrastructure-level investments, making the ROI of foundational, long-horizon work legible to leadership Define how

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 2000 employees operate in 26 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients. What you will be doing As a Senior Engineer in our India office, you will support and develop client data platforms, with a focus on metadata management and data governance using enterprise tools such as Informatica Intelligent Data Management Cloud (IDMC). Your role would include: Platform maintenance: Run and support IDMC day to day, including Secure Agent management, connectivity, access control (asset groups, roles, SSO/SCIM provisioning), and environment promotion. Metadata engineering: Configure and troubleshoot metadata scans across cloud data warehouses, databases, CRM platforms, APIs and reporting tools, and resolve scan and profiling failures at scale. Data quality and governance: Build and maintain data quality rules, scorecards, business glossaries and data classifications, and keep them consistent across sources. Lineage: Map end-to-end data flow across the enterprise, so that data pipelines are visible and trusted. Automation: Use IDMC REST APIs, Python and bulk import/export to automate glossary loads, catalog clean-up, and governance workflows. Qualifications & Experience Informatica Experience: Hands-on experience with Informatica IDMC in production (CDGC, Metadata Command Center or Data Quality), including platform administration, metadata

Strata Information Group (SIG) is a trusted leader in higher ‑ education technology consulting, supporting colleges and universities with ERP/SIS modernization, digital transformation, CRM, cybersecurity, and strategic advisory services. As a long ‑ standing and deeply embedded partner within the higher ‑ education sector, SIG brings together technical depth, operational insight, and a culture rooted in integrity, collaboration, and exceptional client service. Our heritage is built on hands ‑ on expertise, genuine relationships, and a commitment to delivering value with humility and excellence—values that continue to define us as we scale. Business Intelligence & Reporting Consultant Oracle SQL / PostgreSQL | Client-facing designation: Technical Consultant Location: Pune, India (Hybrid) Employment Type: Full-time (via SIG's Employer of Record in India) Experience: 4–7 years Fixed Base Compensation: ₹29.5–₹33.3 lakh per year About SIG Strata Information Group (SIG) is a US-based leader in higher-education technology consulting. We help colleges and universities modernize the systems that run their institutions — student information, HR, and finance — through ERP/SIS implementation, integration, digital transformation, CRM, and cybersecurity work. We are building our first engineering Center of Excellence in Pune. This is a founding-team role. You will not be joining a large delivery pool with a fixed process; you will help set how this team builds. The Role This is a hands-on SQL and reporting role for someone who enjoys working with complex data and transforming business requirements into meaningful reports, dashboards, and data solutions. You will work across large Oracle and PostgreSQL environments, designing data models, building reporting solutions, and supporting data warehouses that enable institutional decision-making. While the role includes client interaction, the primary focus is on data analysis, SQL development, and

This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business. You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics. Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies Document metric definitions, report logic, and data lineage Skills & Attributes The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar) Working proficiency in Python for data transformation,

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork’s on-demand labor marketplace is uniquely valuable for robotics and physical AI. We’re working with leading frontier labs to create the highest-quality, highest-diversity datasets for training robotics foundation models. Instawork Robotics is the human advantage in the robotics revolution. We are seeking a highly skilled, Field Engineering Technician to manage the maintenance, calibration, and local deployment of a fleet of 600 custom wearable camera rigs. Unlike standard IT support, this role sits at the intersection of precision electronics, mechanical assembly, and field operations. You will be the primary guardian of our hardware integrity, ensuring that high-stakes egocentric data collection continues without interruption across various deployment sites. About IRL Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Who You Are: Hardware Technician Lead– Wearable Devices Experience: 3 - 5 years Shift: Night Shift Location: Bangalore Role overview We are looking for a Hardware Service Technician

Who We Are: Being naked is the #1 most sustainable option. We're #2. Since 2009, we've been on a mission to bring sustainable fashion to everyone. Named one of Fast Company’s Brands That Matter and winning a Best Carbon Footprint award, we have big goals like being Climate Positive by 2025 , Circular by 2030 , and pushing the whole industry forward along the way. Our work has gotten love in Drapers and Sourcing Journal , and TIME wrote about how great our CEO, Hali Borenstein, is. Basically, we're saving the Earth and looking damn good doing it. We're a global brand with 50+ stores (and counting) around the world, and our own sustainable factory in LA . We innovate across categories like accessories , swimwear , and sleepwear , and we reach millions of people with campaigns like this , this and this . None of this work is possible without the incredible people behind it. We're a mission-based company that invests in an inclusive culture, so we can innovate together and ensure everyone has the space to grow, thrive, and belong. And starting right now, we want to do all that with you. Work Location/ Schedule: Culver City, CA 4 days in-office / 1 day remote The Role: The AI Operations Analyst, Growth serves as the technical engine and operational backbone of our Growth Marketing team. In this role, you won't just execute campaigns; you will build the automated infrastructure, AI agents, and data pipelines that scale our entire growth engine. By combining analytical rigor with AI, low-code workflow builders, custom APIs, and autonomous agents, you will critically evaluate current processes, eliminate manual bottlenecks, and ensure our Growth Marketing team operates at peak velocity. What You'll Do: Automation Engineering: Design, build, and maintain low-code integration pipelines connecting ad channels, customer segmentation and targeting, and data warehouses to ensure seamless data flow and eliminate manual work. AI Agent Deployment: Prototype and deploy cu

About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. *Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: 4+ years of experience as a software engineer Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research Contribute to the team’s technical strategy, especially for child safety related tools and systems Report on impact in a data-driven fashion You might thrive in this role if you: Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems Have experience building and operating large-scale data pipelines or search/retrieval systems Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL Take a product-minded ap

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence. What you will do Ensures seamless integration of data from different sources, such as databases, application programming interfaces (APIs), or streaming platforms. Optimizes data processing and query performance by fine-tuning data pipelines, database configurations, and data partitioning strategies. Establishes data quality checks and validations to identify and resolve data issues, ensuring high-quality and reliable data for downstream applications and analytics. Implements security measures to protect sensitive data throughout the data lifecycle by working closely with security teams to ensure data encryption, access controls, and compliance with data protection regulations. Collaborates with cross-functional teams, including data scientists, analysts, software engineers, and business stakeholders. Designs and develops data infrastructure, including data warehouses, data lakes, and data pipelines. Establishes auditing and monitoring mechanisms to track data access and maintain data governance standards. Establishes monitoring and alerting mechanisms