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Build and maintain ETL/ELT pipelines and data warehouses on AWS, using Python, SQL, and PySpark to deliver clean datasets for analytics and reporting.
Build and optimize AWS-based data pipelines (ETL/ELT) using Glue, S3, Python/PySpark to ingest and transform customer data for analytics and automation.
Build and optimize AWS-based ETL pipelines and SQL analytics, then create Tableau dashboards that turn raw data into business insights for stakeholders.
Senior Data Engineer builds and maintains cloud data pipelines on AWS, enforces data-quality rules, and implements Medallion architectures to ensure reliable, scalable data for analytics.
Build and scale Checkr’s core data platform that powers identity and background checks for Uber, Airbnb, DoorDash and others, using PySpark, Kafka, AWS and modern data stacks.
Build and maintain data pipelines, models, and connectors using SQL, dbt, and cloud tools to deliver clean, standardized datasets for analytics and AI.
Builds and maintains Java-based financial systems in AWS, using S3, Lambda, Glue, Athena, and SQL Server to ensure smooth banking operations.
Build and maintain web apps with React frontend and TypeScript/Python backend, deploying serverless AWS solutions and CI/CD pipelines.
Lead the design and build of enterprise-scale data platforms on AWS and Databricks, mentoring engineers and owning ETL pipelines, data models, and BI integrations for analytics and AI initiatives.
Senior AWS Data Engineer designs and builds scalable data pipelines and cloud data platforms using AWS services like S3, Glue, and Redshift to power analytics and AI/ML initiatives.
Designs and maintains serverless AWS data pipelines (Lambda, S3, SQS, EventBridge) and CloudFormation IaC, builds Athena datasets for analytics, and creates QuickSight dashboards including SOX compliance reports.
Lead the design and delivery of scalable cloud data pipelines and platforms, mentor engineers, and enforce data governance and DevSecOps practices for a retail/FMCG company.
Build and maintain data-driven analytics platforms using Python, AWS, and BI tools; develop full-stack solutions with React/Angular and ETL pipelines.
Senior Full Stack Developer building cloud-native AI-driven data platforms with Angular, Nest.js, GraphQL, AWS, Azure, and MongoDB to simplify data access and collaboration.
Build and maintain Tendium’s AI-driven public tender platform, design SRE practices, and ensure scalable, reliable microservices using AWS, Python, and TypeScript.
Build and own data migration pipelines to move core banking data from legacy systems like Ultradata into Constantinople’s AI-native banking platform using Snowflake, Python, and AWS.
Build and maintain scalable data pipelines and cloud-native analytics platforms for a major securities exchange, using Python, Spark, AWS Glue, Redshift, and CI/CD practices.
Builds scalable AI-enabled data pipelines on AWS and Databricks, integrating MCP servers and leveraging AI tools to automate and optimize engineering workflows.
Builds scalable data pipelines and AI-enabled integrations on AWS and Databricks, leveraging MCP servers and modern data engineering practices.
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
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