Experience
3 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Data Engineer
Job Type
Not specified
Job Description
- Design, build, and optimize modern data solutions for our mid market and enterprise clients
- Transform raw data into trusted, analytics ready assets that power dashboards, advanced analytics, and AI use cases working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric)
- Develop scalable, well documented ETL/ELT pipelines using T SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best practice patterns for performance, security, and cost control.
- Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion style layers, and dimensional/semantic models for Power BI.
- Build automated data quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub
- Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non technical audiences.
- Research new Fabric capabilities, share findings in internal communities of practice, and contribute to reusable accelerators.
Qualifications
- Bachelor s degree required.
- Minimum of 3 years delivering production data solutions, preferably in a consulting or client facing role.
- Strong SQL for data transformation and performance tuning.
- Python for data wrangling, orchestration, or notebook-based development (PySpark), and hands on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines).
- Solid grasp of Azure fundamentals storage, networking, security, and cost management.
- Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake).
- Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies, and exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks.
- Experience writing unit tests for data pipelines and transformation logic, understanding or working with metadata frameworks for data governance and lineage, and integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint, SAP, Netsuite, Sage Intacct, IFS, etc.)
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