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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, deployment, and maintenance of scalable data and analytics platforms, including big data and cloud-based solutions.
Design, implement, and optimize automated, reliable, and monitored ETL/ELT data pipelines and data storage architectures supporting advanced analytics and data science.
Collaborate with business stakeholders, IT, and subject experts; ensure data quality, governance, and support critical analytics initiatives using Agile and DevOps methodologies.
Minimum Requirements
5 to 8 years of experience in data engineering with expertise in scalable data pipeline and ETL/ELT process development.
Proficient in Python, SQL, Spark (PySpark preferred), and technologies such as Big Data platforms, cloud-based clustered compute environments, and data extraction from varied sources.
Bachelor's degree or equivalent in a relevant technical discipline.
Work onsite 3 days a week at Cummins Pune IOC-B office with some overlap hours with US EST time zone.
Ideal Candidate Profile
Experienced in designing and managing complex, large-scale distributed data platforms and pipelines in cloud and big data environments.
Strong technical skills in data engineering tools, data governance, AI/ML concepts, and integration with platforms like Palantir, Snowflake, Neo4j.
Comfortable working in Agile environments, driving automation and continuous improvement in data pipeline performance and scalability.