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Build and maintain SQL-based data pipelines, ETL processes, and Power BI reports for a Spanish insurance company using Microsoft stack (SSIS, SSAS).
Leads a team to design and build Azure-based data pipelines and Databricks analytics platforms that turn raw data into business insights for asset-management clients.
Senior Data Engineer builds and scales secure, hybrid data pipelines using Python, SQL, and Spark in a growing team.
Builds end-to-end data pipelines and designs Databricks-based architectures using Python and PySpark.
Lead a team building PySpark/AWS ETL pipelines that ingest SAP, Intelex, SQL and OSI PI data into a cloud data lake and ensure clean, reliable data flows for analytics.
Builds and maintains big-data pipelines and APIs using Python, Spark, Kafka, Hadoop, and SQL to process and analyze large datasets for IBM clients.
Design and maintain scalable data pipelines and ETL processes using Python and SQL in a collaborative, on-site role.
Maintains and enhances a legacy property & casualty insurance system (WINS) using COBOL, RPG, and SQL on AS400/DB2, ensuring weekly/monthly/quarterly processing deadlines are met.
Build and scale software systems for a genomics AI platform, using AI in development practices and mentoring engineers.
Role Overview We are seeking a part-time Python/Django Developer & Data Engineer with experience in DevOps and CI/CD pipelines to join our growing team. This role supports the maintenance and evolution of our data…
Design and build enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads for an edtech company.
Build and maintain real-time ETL pipelines and data infrastructure on AWS to power AI-driven analytics and risk models.
Design and maintain AWS/Databricks data pipelines using Python and SQL to support analytics and reporting.
Designs and builds scalable data infrastructure and ETL pipelines using Python, Java, SQL, and cloud tools to support analytics and ML.
Senior Data Engineer builds and secures AWS-based data pipelines and AI agents for financial clients, translating requirements into scalable, auditable solutions.
Senior Data Engineer builds and maintains real-time data pipelines for utilities' grid data using Python, SQL, AWS, and Airflow.
Design and maintain cloud data pipelines and platforms using Databricks, Python, SQL, and Azure to move and transform data for reporting and governance.
Build and optimize Snowflake-based ETL/ELT pipelines, tune queries, and maintain cloud data platforms for enterprise clients in a managed-services role.
Builds and maintains data pipelines and quality checks for energy market data in Oracle and Snowflake, automating monitoring to catch issues early.
Design and maintain enterprise-scale data models in Snowflake using dbt to power analytics for a major integrated resort and casino.
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