Position Name: Data Engineer – Junior/ Senior/ Lead

Location: Hyderabad, Pune, Chennai, Bangalore

Experience: 5-10+ years

About BinQle

BinQle is a global delivery and execution partner supporting enterprises across the US, India, Singapore and Australia. We specialize in structured hiring, managed teams, and long-term delivery support.

Role Summary:

Design, implement, and optimize data pipelines using Microsoft Fabric and Databricks. Migrate legacy SQL Server objects and ensure data quality and lineage across medallion architectures.

What You'll Do:
- Design and build Bronze, Silver, and Gold pipelines in Microsoft Fabric and Databricks
- Implement Cascade 1.0 and 2.0 merge logic in the Silver layer, handling new and nulled columns
- Migrate legacy SQL Server objects (tables, views, stored procedures) into Fabric notebooks and pipelines
- Develop PySpark transformations and Delta Lake models,



tuning for performance and cost
- Establish data-quality gates, lineage, and validation against source systems
- Collaborate with report engineers and QA to deliver governed semantic models

What We’re Looking For (Must-Haves):
- 5+ years of data engineering experience building production data pipelines
- Hands-on expertise with Microsoft Fabric (Lakehouse, Pipelines, OneLake) and/or Databricks
- Robust PySpark and advanced SQL/T-SQL skills; experience with Delta Lake and medallion architecture
- Working knowledge of Power BI datasets and semantic models

Good to Have (Optional – only if mentioned):
- Experience migrating legacy SSIS/SQL Server ETL to a modern lakehouse
- Experience with Azure Data Factory

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