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 Youll 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
- Strong 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 contemporary lakehouse
- Experience with Azure Data Factory

Qualifications:

As per requirement

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer - Junior/ Senior/ Lead (Bengaluru)
🏢 Proffer IT Consultancy
📍 Bengaluru