Senior Engineer - Data & AI
Mumbai · Senior
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Job description
Roles & Responsibilities
- Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric.
- Build scalable data ingestion, transformation, and orchestration solutions using Data Factory, Dataflows Gen2, Notebooks, and Spark.
- Develop and optimize Lakehouse, Warehouse, and OneLake-based data architectures.
- Implement ETL/ELT frameworks to support enterprise analytics and reporting requirements.
- Create and maintain semantic models, datasets, and reporting layers for Power BI consumption.
- Perform data modeling, data quality checks, and performance tuning of pipelines and queries.
- Collaborate with Business Analysts, Architects, Data Scientists, and BI teams to translate business requirements into technical solutions.
- Implement security, governance, and data access controls across Fabric workspaces.
- Support CI/CD, version control, automated deployments, and DataOps best practices.
- Monitor and troubleshoot production workloads, ensuring platform reliability and performance.
- Participate in Fabric migration and modernization initiatives from legacy data platforms.
- Mentor junior engineers and contribute to technical best practices and standards
Skills Required
Microsoft Fabric,Lakehouse Architecture,Python,Etl / Elt,Data Modeling,Azure Data Lake,Medallion Architecture,Dev,devops,Dataflow,Ci/Cd
Role
Ideal Candidate
- 6+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
- Hands-on expertise in Microsoft Fabric and modern cloud-based data platforms.
- Strong experience with:
- Microsoft Fabric
- OneLake
- Lakehouse Architecture
- Data Factory Pipelines
- Dataflows Gen2
- Power BI
- Fabric Warehouse
- Spark / PySpark
- SQL & Python
- Strong understanding of ETL/ELT processes and Medallion Architecture.
- Experience designing dimensional models and enterprise data warehouses.
- Proficiency in performance optimization, troubleshooting, and data quality management.
- Experience with Azure ecosystem including ADLS, Azure SQL, Synapse, and Azure DevOps.
- Knowledge of CI/CD, Git, DataOps, and Agile delivery methodologies.
- Excellent communication and stakeholder management skills.
- Fabric migration and modernization experience will be a strong advantage.
Preferred Certifications
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Education/Qualification
B.Tech , M.B.A, B.E, B.CA. M.CA, MSc- Science , MSc- Data & AI , B.BA, B.E,
Job Code
11054
Designation
Fabric Data Engineer
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