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 solid 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

Valuable-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 (India)
🏢 Unicorn workforce
📍 India