Data Engineer - Senior 6
SourceoPuneOn-siteDirect career pageEst. 14–26 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and maintenance of scalable data and analytics platforms including large-scale data storage and processing solutions across various domains such as Supply Chain, Quality, Finance, and Product Lifecycle.
- Design, build, and optimize reusable data pipelines and domain-aligned data products with metadata, data quality controls, and documentation supporting analytics, APIs, automation, and GenAI use cases.
- Collaborate with cross-functional teams (Product Managers, Data Scientists, Architects, business stakeholders) in an Agile environment to deliver AI-ready datasets and enterprise-wide reusable data assets.
Minimum Requirements
- Bachelor’s degree in Computer Science, IT, Engineering, Data Analytics or equivalent practical experience.
- Intermediate experience in data engineering including development and support of enterprise data pipelines, ETL/ELT, data modeling, SQL, and scalable data architectures.
- Familiarity with Big Data technologies such as Spark, Scala/Java, Map-Reduce, Hive, Hbase, Kafka or equivalent.
- Experience working in Agile teams and collaborating with multiple stakeholders to deliver data solutions.
Ideal Candidate Profile
- Experienced in designing and implementing data-as-a-product principles including metadata management, lineage, governance, and data cataloging.
- Proficient in leveraging modern cloud data platforms and ETL/ELT tools to create scalable, maintainable data solutions supporting AI/ML and analytics use cases.
- Effective collaborator able to translate complex business requirements into technical solutions that balance quality, performance, and scalability, particularly in cross-functional Agile teams.