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Build and maintain ETL/ELT pipelines using Python, SQL, and AWS services (S3, Glue, Athena, Redshift) to process and integrate financial data for a cloud-ecosystem project.
Design and scale a modern data platform, building ETL/ELT pipelines, optimizing Snowflake schemas, and enforcing DataOps with CI/CD and orchestration tools like Airflow.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines and optimizing Snowflake schemas with Airflow, Prefect, or Dagster.
Design and build scalable data pipelines using Snowflake, Airflow, and Python, ensuring robust ETL/ELT workflows and DataOps best practices.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow/Prefect/Dagster.
Design and scale a modern data platform, building ETL/ELT pipelines with Snowflake and Airflow while ensuring data quality and reliability.
Design and scale a modern data platform, building production-grade ETL/ELT pipelines and optimizing Snowflake data warehouses for reliability and accessibility.
Senior Data Engineer builds and maintains ETL/ELT pipelines in Azure Synapse and SQL Server, using PySpark and Microsoft Fabric to deliver clean, governed data for analytics.
Architect and build scalable data pipelines and Snowflake schemas using Python, Airflow/Prefer/Dagster, and CI/CD to power enterprise analytics in a modern data platform.
Build and maintain scalable data pipelines and BI dashboards using Azure, Python, Power BI, and DOMO to deliver real-time insights and automated reporting for an adtech platform.
Design and maintain AWS-based data pipelines for a U.S. healthcare client, ensuring HIPAA/HITRUST compliance while ingesting and transforming clinical data with tools like S3, Glue, Redshift, and Airflow.
Designs and builds scalable data pipelines and warehouses using Snowflake, dbt, Python, and AWS services to power analytics and automation.
Build and maintain scalable ELT pipelines, optimize Snowflake data models, and orchestrate workflows in AWS to ensure reliable, high-performance data processing for analytics.
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Lead a team to build data pipelines, warehouses, and analytics platforms in Snowflake/AWS using Python and Airflow, enabling workforce analytics and predictive models for a global job platform.
Build and maintain scalable data pipelines and cloud infrastructure using Python, Spark, and GCP/Azure to support analytics and reporting for enterprise clients.
Designs and maintains automated data pipelines and ETL/ELT processes for a global data engineering firm, translating business needs into technical solutions while ensuring data integrity and governance.
Build and operate a near-real-time data platform using Kafka, Kubernetes, and Snowflake, designing pipelines, governance tools, and CI/CD for ETL/ELT.
Lead a small team to design, build, and maintain scalable data pipelines on GCP for Scotiabank’s Colombia tech hub, ensuring robust, secure infrastructure that drives data-driven decisions.
Designs and builds scalable AWS-based data pipelines, ELT processes, and analytical models using Python, Spark/PySpark, and SQL for enterprise analytics.
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