Data Engineer

NS IT Solutions

Indiana

Role Overview:

Location: Remote (India)
Working Hours: US EST Shift
Experience: 5+ Years
Engagement: Full-time Contract.

Key Responsibilities:

Pipeline Engineering: Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric (Dataflows Gen2, Pipelines, Notebooks, Spark) alongside legacy SSIS workflows.
Medallion Architecture: Implement Bronze, Silver, and Gold layers utilizing Delta Lake, Warehouse, and OneLake structures.
Data Modeling & Optimization: Build high-performance star schemas, handle SCD Type 1/2, and implement partitioning, Z-ordering, and compaction.
Data Ingestion: Develop ingestion frameworks for REST APIs, SaaS platforms, flat files, cloud feeds, and partner integrations.
Governance & Security: Implement Row-Level Security (RLS), object-level controls, and data governance/lineage via Microsoft Purview.
Operational Excellence: Maintain CI/CD pipelines via Azure DevOps/Git and troubleshoot pipeline bottlenecks.

Required Qualifications:

Bachelor's degree in CS, Information Systems, Engineering, or a related field.
5+ years of core Data Engineering, BI, or Data Warehouse development experience.
Strong hands-on expertise with Microsoft Fabric (Lakehouse, OneLake, Pipelines, Notebooks).
Advanced SQL (T-SQL) capabilities for complex transformations, joins, and query optimization.
High proficiency in Python or PySpark for data transformations and ingestion.
Solid grasp of Kimball dimensional modeling, star schemas, and conformed dimensions.
3–5 years of hands-on experience with SSIS / SSMS / SSDT.
Proven track record with CI/CD deployment via Azure DevOps / Git.

Nice-to-Have:

Domain experience in Retail / QSR (Quick Service Restaurant) data environments (POS, supply chain, labor, or inventory).
Exposure to Power BI semantic modeling, Azure Data Factory, Synapse, or Databricks.

How to Apply:
Interested candidates can share their updated resume to View email address on us.fitly.work .

Apply

Vacancy posted 9 days ago

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