Top Tech Jobs & Startup Jobs

Support migration of tables, views, and stored procedures from Amazon Redshift to Databricks. Build and maintain Databricks pipelines and jobs, work with AWS services (S3, Glue, Athena), implement data lake architecture and data governance (lineage, catalogs, RBAC), and collaborate with stakeholders during a 5-6 month engagement. Requires 3-5 years of data engineering experience.

Support a 5–6 month data platform migration from Amazon Redshift to Databricks by building and maintaining Databricks pipelines and jobs, working with AWS services (S3, Glue, Athena), applying data governance (lineage, catalogs, RBAC), and collaborating with stakeholders to migrate tables, views, and stored procedures within a modern data lake architecture.

Support a 5–6 month migration from Amazon Redshift to Databricks: move tables, views, and stored procedures; build and maintain Databricks pipelines/jobs; use AWS services (S3, Glue, Athena); enforce data governance (lineage, catalogs, RBAC); work within a data lake architecture and collaborate with stakeholders. Requires 3–5 years data engineering experience and upper-intermediate English.

Support a 5-6 month migration from Amazon Redshift to Databricks: migrate tables, views, and stored procedures; build and maintain Databricks pipelines; use S3, Glue, and Athena; implement data governance (lineage, catalogs, RBAC); and collaborate with stakeholders.

Support a data platform migration from Amazon Redshift to Databricks by migrating tables, views, and stored procedures; build and maintain Databricks pipelines/jobs; work with AWS services (S3, Glue, Athena); enforce data governance, lineage, cataloging, and RBAC; collaborate with stakeholders during a 5-6 month engagement.

Migrate tables, views, and stored procedures from Amazon Redshift to Databricks. Build and support Databricks pipelines and jobs, work with S3, Glue, and Athena, and apply data governance, lineage, cataloging, and RBAC within a modern data lake architecture while collaborating with stakeholders.

Support a 5-6 month migration from Amazon Redshift to Databricks by building and maintaining Databricks pipelines, working with AWS services (S3, Glue, Athena), enforcing data governance (lineage, catalogs, RBAC), and collaborating with stakeholders within a modern data lake architecture.

Design and build scalable server-side solutions and reusable client integration systems for a SaaS platform. Collaborate with product and design teams, estimate and plan sprints, contribute to architecture and technical documentation, implement CI/CD and observability best practices, and participate in code reviews and deployments.

Own integration of identity and entitlement services onto a new API shielding layer: repoint OMES and UPMS, design and build backward-compatible integration components, validate entitlement integrity, execute cutovers with rollback plans, support QA/UAT and entitlements data migration, and manage IaC and deployment pipelines using Golang, Node.js, Terraform, and Azure.

Design and implement full-stack features using React and Node.js, optimize performance across browsers and devices, apply state management (Redux/Context), implement automated tests (Jest, React Testing Library, Mocha/Chai), and collaborate with cross-functional international teams to deliver production-ready, secure, component-driven applications.