Data Engineer - Senior
Cummins Inc. (company site, opens in a new tab)8+ yrsPuneRemoteDirect career pageEst. 20–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, deployment, and maintenance of scalable, efficient data and analytics platforms, focusing on ETL/ELT pipelines and data processing solutions.
- Implement data governance, quality, monitoring, and security frameworks to ensure compliant and reliable data availability for analytics and business use.
- Provide technical leadership including mentoring, technical decision-making, and collaboration with stakeholders to deliver enterprise-wide data solutions aligned with business objectives.
Minimum Requirements
- 8+ years of hands-on experience in Data Engineering, Big Data, or related disciplines with 3+ years leading technical teams or projects.
- Strong expertise in Azure cloud data services (Databricks, ADLS, Synapse), Apache Spark, Python, Scala, SQL, and building large-scale ETL/ELT pipelines.
- Bachelor’s degree or equivalent qualification in Computer Science, IT, Engineering, Data Science, or related field; relevant professional experience may substitute.
- Experience implementing CI/CD pipelines, DevOps practices, and working within Agile development methodologies.
Ideal Candidate Profile
- Experienced in leading large-scale, enterprise cloud-based data engineering initiatives with proven ability to balance strategic architecture and hands-on technical execution.
- Strong background in scalable distributed data processing, performance optimization, and managing data lakehouse architectures with deep Azure ecosystem knowledge.
- Proficient in collaborating cross-functionally with technical and business stakeholders to translate requirements into actionable, compliant, and high-quality data solutions.