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Data Engineer - Databricks
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
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Senior Data Engineer (Python & Snowflake)
Design and maintain data pipelines and ETL processes using Python, Snowflake, and SQL to build scalable enterprise data solutions.
Senior Data Engineer
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.
Senior Data Engineer
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Streaming Data Engineer
Build end-to-end streaming data pipelines using Kafka, Flink, Spark Streaming and cloud services to process real-time data and deliver low-latency insights for enterprise clients.
Data Engineer
Build and scale data pipelines on Databricks and AWS, designing robust ETL/ELT workflows with Apache Spark to power analytics and decision-making.
Data Engineer
Builds and maintains ETL pipelines in Python and Airflow, optimizes Snowflake SQL queries, and deploys CI/CD on GitHub for data workflows.
Data Engineer
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Data Engineer
Designs and maintains scalable data pipelines and databases for a real-estate brokerage, using Python, SQL, AWS, and ETL tools.
Data Engineer
Build and maintain scalable data pipelines for market abuse surveillance, ensuring regulatory compliance by ingesting trade, market, and communications data into AWS-based systems.
Data Engineer - Databricks
Build and migrate ETL/ELT pipelines to Databricks on AWS, using Spark, Delta Lake, and AWS Glue to process batch and streaming data for a global fund-services provider.
AWS Data Engineer - ETL Pipelines & Real-Time Data
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Data Engineer
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
AI Data Engineer
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Data Engineer
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Data Engineer
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
Python Data Engineer
Builds an AI-powered Jira-integrated backend that auto-investigates connected-car tickets using multi-agent workflows, event-driven pipelines, and AWS services like ECS, SQS, and Bedrock.
CLOUD DATA ENGINEER
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.
Data Engineer
Builds and maintains scalable data pipelines and ETL processes in AWS using Python and SQL to ensure reliable analytics and data availability.