Roles & Responsibilities
- Design, build, and maintain scalable data pipelines, data warehouses, Lakehouse’s, and curated data models that support enterprise reporting, analytics, and business intelligence solutions.
- Develop, optimize, and troubleshoot complex SQL, ETL, and ELT processes to ensure data accuracy, performance, reliability, and repeatability across production data environments.
- Partner with architects, BI developers, analysts, data governance teams, and business stakeholders to translate business requirements into reliable, well-documented technical solutions.
- Support modern cloud data architectures using platforms such as Microsoft Fabric, Azure Data Lake, Azure Data Factory, Azure Synapse, Databricks, SQL Server, or comparable technologies.
- Perform root cause analysis and resolve complex data quality, refresh, performance, integration, and production support issues.
- Design and implement data validation, reconciliation, monitoring, and exception-handling processes to improve trust in enterprise data assets.




- Contribute to engineering standards for SQL development, source control, deployment, documentation, testing, and ongoing support.
- Participate in code reviews, release planning, testing, production deployments, and CI/CD practices within an agile delivery setting.
- Document data flows, transformation logic, technical design decisions, dependencies, and operational support procedures.
- Collaborate effectively with global teams across India and U.S. time zones, including maintaining reasonable overlap with U.S.-based stakeholders as business needs require.
- Mentor and support other team members by sharing technical knowledge, promoting best practices, and helping strengthen overall data engineering capabilities.

Skills & Qualifications
- Bachelor’s degree or equivalent experience required, degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or a related field preferred.
- Minimum of 7 year

📌 Senior Consultant (Pune)
🏢 CBIZ
📍 Pune