Data Engineer - Junior/ Senior/ Lead
Proffer It Consultancy · Pune · onsite · Posted 20d ago
Undisclosed10–15 yrsfulltimeSourced from
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About this role
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 modern 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.
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 modern 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.
Sourced from naukri
Skills
data qualityStored ProceduresDeltaSSISSenior LeadPower BimanagementArchitectureMicrosoftSQL Server