Data Engineer - Senior
Sourceo8+ yrsPuneOn-siteDirect career pageEst. 25–40 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, deployment, and maintenance of enterprise-scale data and analytics platforms.
- Build and optimize scalable, reliable ETL/ELT data pipelines and cloud data solutions primarily on Azure, ensuring data quality, governance, and compliance.
- Provide technical leadership, mentor team members, and collaborate with multi-disciplinary stakeholders to deliver data engineering initiatives from concept through production.
Minimum Requirements
- 8+ years of hands-on experience in Data Engineering, Data Platform Engineering, Big Data, or related domain.
- 3+ years experience leading technical teams or significant data engineering projects.
- Bachelor’s degree or equivalent in Computer Science, IT, Engineering, Data Science, or relevant field.
- Experience with Azure cloud data services (Databricks, ADLS, Synapse), Spark, Python/Scala, SQL, and CI/CD tools explicitly required.
Ideal Candidate Profile
- Experienced in building large-scale cloud-based data ingestion and transformation platforms with strong operational delivery focus.
- Demonstrates technical leadership balancing strategic architecture and hands-on execution in Azure and big data ecosystems.
- Skilled in implementing data governance, quality frameworks, DevOps, and Agile methodologies aligned with enterprise compliance and regulatory requirements.