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Senior Data Engineer builds and validates data pipelines, models, and dashboards for a consulting client, integrating ERP, SharePoint, and flat files into trusted analytics using Snowflake, Databricks, and Sigma.
Designs and maintains scalable data pipelines and BI solutions using Azure Synapse, Databricks, and PySpark to turn raw data into actionable insights for DSV’s global operations.
Lead a team of data engineers to build and maintain scalable Azure-based data pipelines and ETL processes using Databricks, PySpark, and SQL, while mentoring engineers and driving DataOps best practices.
Senior Data Engineer builds scalable data pipelines in Databricks and PySpark, refactors legacy SQL logic, and designs Medallion architecture for a large insurance client’s cloud migration.
Design and build cloud data pipelines in AWS using PySpark and AWS Glue to process and transform data for analytics and reporting.
Lead a team to design and build scalable data platforms (Data Lakes, pipelines) using Python, SQL, Spark, and GCP, while mentoring engineers and aligning architecture with business needs.
Build and maintain Azure + Databricks pipelines that ingest, transform, and deliver trusted datasets for an automotive application using PySpark, Spark SQL, and Azure Data Factory.
Build and maintain high-volume data pipelines and analytics solutions for adtech, transforming audience/media data into actionable insights using Python, PySpark, Airflow, and Kubernetes on AWS/Databricks.
Builds and maintains cloud-based ETL pipelines and data architectures using Python, SQL, and Spark to enable analytics and reporting.
Designs and maintains cloud-based data pipelines and ETL workflows in Python/PySpark and SQL to feed AI/ML services and analytics across a global dairy company.
Builds and maintains AI/ML data pipelines on Palantir Foundry using Python and PySpark to deliver client solutions for European enterprises.
Builds and maintains data pipelines and transformations using Python, PySpark, and notebooks for a new UK-focused data product.
Build and maintain cloud-based data pipelines and warehouses using Databricks, Snowflake, or MS Fabric to enable data-driven decisions for global clients.
Senior Data Engineer builds, optimizes, and maintains high-volume data pipelines in GCP and on-prem using Python, PySpark, ETL tools, and Rust for performance-critical components.
Build and maintain scalable data pipelines and platforms using Azure, Databricks, PySpark, and Python to enable analytics and AI workloads.
Leads scalable data pipelines using SQL, PySpark, and Python, optimizing processes and mentoring engineers to improve data solutions.
Designs and builds scalable data pipelines on Databricks and Azure, using Python/PySpark and Azure Data Factory to integrate and process large datasets.
Designs and maintains AWS-based data platforms, builds scalable ETL/ELT pipelines using PySpark, and manages cloud infrastructure for data processing.
Design and implement a cloud-native data ecosystem on Azure for a credit union, using Databricks, Spark, Unity Catalog, and Purview to build secure, scalable, and compliant data pipelines and governance frameworks.
Build and optimize scalable data pipelines and models for a gaming-focused HR platform, ensuring data quality and governance using Python, DBT, Airflow, PySpark, and AWS.
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