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Lead a team building core ML data infrastructure, including feature stores, pipelines, and streaming systems to power Amazon’s bot detection models at scale.
Build and maintain scalable data pipelines for Alexa Audio, processing large datasets to power next-gen AI-driven audio features using AWS tools like Redshift, Glue, and EMR.
Build and scale financial planning tools for Amazon’s Devices and Services teams using AWS data tech and IBM TM1, automating pipelines and reporting for budgeting and performance analysis.
Build and maintain cloud-based data pipelines (batch and real-time) on AWS, using SQL, Python, ETL tools, and Snowplow to feed analytics and product insights.
Build and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, Python, and SQL.
Build and maintain scalable ETL/ELT pipelines, cloud data warehouses (Snowflake/BigQuery), and orchestration workflows (Airflow) to deliver reliable, analytics-ready data for business intelligence and machine learning.
Builds and maintains secure data pipelines using Python, PySpark, and AWS services like Lambda, Glue, and DynamoDB for a government-focused client.
Build and maintain production-grade data pipelines and MLOps workflows, deploying scalable ML services on Azure/AWS using Docker, Kubernetes, and CI/CD.
About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children,…
Partner Solution Engineer at Snowflake helps partners build and scale Snowflake-based solutions, delivering training, POCs, and technical enablement across India.
Build cloud-native marketing campaign platforms using Python/Java, AWS services, and OpenShift to orchestrate personalized customer communications and data pipelines.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on probabilistic record matching, relevance scoring, and grounded text generation with full provenance tracking.
Design and maintain cloud data pipelines and datasets to track cloud costs, usage, and performance for engineering and finance teams using AWS, Snowflake, Python, and SQL.
Build and optimize AWS-based data pipelines and cloud data platforms for large-scale migrations, using Glue, Redshift, S3, and Python to move and transform structured/unstructured data.
Senior Data Engineer builds and optimizes AWS-based data pipelines and cloud data platforms, migrating and transforming large-scale datasets using Python, Glue, Redshift, and related services.
Designs and builds scalable data pipelines and cloud-native architectures for government and enterprise clients, focusing on high-performance data systems and AI integration.
Job: • Support and maintain our IT infrastructure on AWS. • Be the go-to person for system health, performance, security, and continuous improvement of our cloud infrastructure and EAI platforms. • Work closely with…
Builds and maintains AWS-based data pipelines for financial data using PySpark, AWS Glue, and serverless tools, while ensuring governance and performance.
Design and build an AWS-based data lake and lakehouse, including ingestion pipelines, transformations, and governance, using Glue, Redshift, Lambda, and Lake Formation.
Senior Data Engineer builds and optimizes data pipelines, warehouses, and lakes for Prudential’s financial reporting, using Python, Spark, SQL, and cloud tools like AWS and Snowflake to enable analytics and modeling.
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