Commercial Senior Data Engineer – JD

Location: Pune – Hybrid

Work Mode: Hybrid

Experience: Senior Level

Drive Dates: 24th–26th August 2026

Assessment: Technical assessment in Round 1

Candidate Requirement: Candidates must carry their laptops for the drive.

Role Overview

We are looking for an experienced Commercial Senior Data Engineer to design, develop, and support scalable cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Azure Data Factory, Databricks, Delta Lake, Python, SQL, and PySpark , along with experience in CI/CD, DataOps, governance, and cloud architecture.

Key Responsibilities

- Design and develop end-to-end data solutions using Azure Data Factory, Databricks, Delta Lake, and Snowflake .
- Build scalable, secure, and high-performance data pipelines using Python, SQL, and PySpark .
- Implement CI/CD, DevOps/DataOps, monitoring, testing, and deployment practices.
- Translate business requirements into robust technical solutions and data architecture.
- Troubleshoot complex data incidents and drive permanent resolutions.




- Ensure data security, governance, performance, and cost optimization .
- Mentor engineers and contribute to design and code reviews .
- Establish and promote technical best practices.
- Support data platforms for Analytics, Machine Learning, and Generative AI use cases.

Must-Have Skills

- Azure Data Factory
- Azure Databricks
- Delta Lake
- Python
- SQL
- PySpark
- Azure DevOps / Git
- CI/CD
- Data Engineering
- Cloud Architecture
- Data Security & Governance

Good-to-Have Skills

- Snowflake
- Azure Machine Learning
- Azure OpenAI
- SAP BW
- MuleSoft
- Apigee

Education

- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field .

Drive Details Drive Date: 24th–26th August 2026

Location: Pune – Hybrid

Priority: High

Significant: Since the first round includes a technical assessment , candidates are required to carry their laptops for the drive.

📌 Commercial Senior Data Engineer | Location: Pune | Hybrid | Experience: Senior Level
🏢 Unicorn workforce
📍 Pune