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Senior Data Engineer builds and scales real-time data pipelines on AWS to process grid sensor data, enabling utilities to meet rising electricity demand from AI data centers and electrification.
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Lead the end-to-end data architecture—ingestion, processing, modeling, and consumption—using Python, PySpark, Airflow, and AWS services to enable reliable reporting and LLM-driven analytics at scale.
Designs, builds, and optimizes ETL pipelines using AWS Athena and SQL to validate data and support analytics across business domains.
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Designs and maintains AWS-based data pipelines and cloud infrastructure using Python, SQL, and AWS services like Glue and Lambda to build scalable, secure data solutions.
Senior Data Engineer builds AWS-based pipelines to transform financial data into features for AI models that detect and prevent financial crime.
Senior Data Engineer builds and optimizes AWS-based pipelines to transform large financial datasets into features for AI models that detect financial crime.
Senior Data Engineer to migrate and own Ōura’s product analytics stack onto Databricks, building data models and ensuring data quality for health and subscription insights.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Builds scalable Python microservices (Flask/FastAPI, Celery) on AWS to power a UGC platform for brands, handling content collection, moderation, and distribution at scale.
Senior Data Engineer builds and maintains AWS data pipelines, ensuring quality and consistency via ETL/ELT and Medallion architectures.
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
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