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Build and maintain Spark pipelines and Kafka ingestion for large-scale government data lakes, ensuring data quality and real-time processing.
Build and maintain data pipelines and troubleshoot production issues for client projects using Python, SQL, and Spark.
Build and maintain scalable backend services for PayU’s fintech and payments platform using Node.js, TypeScript, and cloud infrastructure (AWS).
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3, with CI/CD and IaC for scalable ETL/ELT workflows.
Architect and build an AI-driven logistics engine for a last-mile delivery network, designing distributed systems, ML pipelines, and real-time routing logic in Python on AWS.
Build and govern data pipelines and products for a trading firm, integrating vendor datasets and ensuring reliability for traders and researchers using SQL, Python/Java, and modern data tech.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Senior Data Engineer builds and maintains DRW’s unified data platform, integrating vendor datasets and ensuring reliable pipelines for trading, research, and back-office teams using SQL, Python/Java, and modern data tech.
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Lead a team to build and maintain scalable ETL pipelines and cloud data platforms for government projects using AWS services like S3, Glue, and Redshift.
Senior Data Engineer builds and maintains DRW’s unified data pipelines, integrating vendor datasets and ensuring reliability for trading, research, and back-office teams using SQL, Python/Java, and modern batch/streaming tech.
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
Architect and maintain scalable data pipelines and warehouses (Snowflake, Redshift, Athena) to power analytics and AI workflows, using Python, SQL, Airflow, and Kafka.
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Lead a team of data engineers to build and scale a modern Data Lakehouse (AWS S3, Iceberg, EMR) and transformation frameworks (dbt) for a global streaming platform, enabling self-serve analytics and AI readiness.
Provide application support and backend development for enterprise insurance systems using Java, Python, and AWS, ensuring system reliability and security.
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Build and deploy backend services for AI-powered digital surgery applications using Python and AWS, integrating ML models across cloud and on-prem environments.
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