MUST HAVE EXPERIENCE

• 3–6 years of hands-on data engineering experience.
• Azure expertise: Azure Data Lake (ADLS Gen2/OneLake), Azure Data Factory/Fabric pipelines, Synapse Analytics, Databricks (Spark), Logic Apps.
• Strong Python and SQL skills.
• Experience implementing data quality rules and monitoring.
• Familiarity with RBAC, Purview (governance & lineage).

We are seeking a Data Engineer to build and operate enterprise-scale data pipelines primarily on Microsoft Azure, with exposure to AWS and GCP as a plus. This role supports critical business domains including Financial Services, Healthcare, Maritime, and Retail.

• Build ingestion and transformation pipelines in Azure Fabric / Synapse / Databricks.
• Implement metadata-driven frameworks, quality checks, and monitoring dashboards.
• Enable self-service analytics and reporting pipelines.
• Collaborate with cross-functional teams to ensure secure, governed, and performant pipelines.