What you’ll do: - Migrate tables, views, and stored procedures from Redshift to Databricks with accuracy and minimal disruption to downstream consumers. - Build and support Databricks pipelines and jobs to replace existing Redshift-based workflows. - Validate migrated objects for data integrity, performance, and functional parity with legacy Redshift equivalents. - Collaborate with data governance and platform teams to ensure lineage, cataloging, and access controls carry over correctly to the new environment. - Troubleshoot and resolve migration issues across the data lake and warehouse layers.

What makes you a great fit: - Bachelor’s Degree in Computer Science, Engineering, or a related field. - 6+ years of experience with core AWS services, including S3, Athena, and Glue. - 6+ years of experience building, deploying, and supporting Databricks pipelines and jobs. - Strong data engineering background with hands-on experience in both Databricks and Redshift. - Solid understanding of data lake architectures and modern lakehouse design principles. - Knowledge of data governance and management practices, including data lineage, data catalogs, and RBAC. - Advanced English level is required for this role, as you will work with US clients. Effect

What you’ll do: - Migrate tables, views, and stored procedures from Redshift to Databricks with accuracy and minimal disruption to downstream consumers. - Build and support Databricks pipelines and jobs to replace existing Redshift-based workflows. - Validate migrated objects for data integrity, performance, and functional parity with legacy Redshift equivalents. - Collaborate with data governance and platform teams to ensure lineage, cataloging, and access controls carry over correctly to the new environment. - Troubleshoot and resolve migration issues across the data lake and warehouse layers.

What makes you a great fit: - Bachelor’s Degree in Computer Science, Engineering, or a related field. - 6+ years of experience with core AWS services, including S3, Athena, and Glue. - 6+ years of experience building, deploying, and supporting Databricks pipelines and jobs. - Strong data engineering background with hands-on experience in both Databricks and Redshift. - Solid understanding of data lake architectures and modern lakehouse design principles. - Knowledge of data governance and management practices, including data lineage, data catalogs, and RBAC. - Advanced English level is required for this role, as you will work with US clients. Effect