Job Title

Title: Senior Data Analytics Engineer – Azure Data Stack | Remote Location: Remote (Must overlap with US Eastern/Central time zones; 2 PM–11 PM IST shift acceptable) Experience Level: Senior | 3–5+ years in data engineeringRole Overview: We’re looking for aSenior Data Analytics Engineerto join ourGlobal Delivery - DADP team , building high-performance, Azure-native data solutions. You’ll work directly with clients to translate complex business needs into scalable data platforms, applying your deep expertise across Azure Data Factory, Databricks, Synapse, and modern data warehousing patterns. This is aremoteconsulting role with real client impact, autonomy, and a fast-paced, agile environment.Key Responsibilities: Design & implement robust data pipelines usingAzure Data Factory, Databricks, and Synapse Architect lakehouse/warehouse models based onmedallion architecture Optimize SQL queries, ETL processes, and handle anomaly detection Participate in architectural reviews and CI/CD delivery cycles Collaborate with clients and internal teams to drive projects end-to-end Lead code reviews and mentor junior team members✅ Must-Have Skills: Azure Data Factory, Databricks, Synapse (or Fabric) SQL (strong proficiency) Data modeling: Kimball/dimensional ETL/ELT pipeline development Data warehouse/lakehouse best practices Agile development and DevOps/CI/CD Client interaction and communicationPreferred Skills: Power BI, Microsoft Purview, or Fabric analytics PySpark or Python scripting for transformation Experience in data lineage or governance tools Azure Data Engineer certification Consulting or enterprise project delivery backgroundDon’t Apply If: You lack hands-on experience with Azure data stack Your background is only in reporting or BI without pipeline development You're not comfortable working independently or engaging directly with clients You can't overlap with US time zones