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Tier-1 brand plus mid-level generalist data role, metro location, and broad skillset increases competition.
Big Data and cloud engineering skills are highly transferable across industries.
Explicit 3-5 years requirement plus mandatory Big Data and Azure tech stack enforces strict filtering.
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Design, build, and maintain robust ETL/ELT pipelines on cloud (Azure) or on-premises to ingest and process large volumes of structured and unstructured data.
Ensure adherence to data processing, quality, security, and compliance guidelines and standards.
Collaborate with Business, Technology, Operations, and D&A teams including Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, BI & insights.
3-5+ years of relevant experience in data engineering or related field.
Bachelor’s degree in computer science, information technology, or equivalent.
Technical skills: SQL, Python/Scala, NoSQL databases (HBase, Cosmos DB), ETL pipeline development, Big Data frameworks (Apache Spark, Hadoop, Hive), Cloud platforms (Azure Data Factory, Eventhub, Azure Functions, Synapse, Databricks).
Work arrangement: Hybrid location in Pune, Maharashtra. Relocation assistance not available.
Experienced with production-grade Big Data and Cloud data engineering solutions preferably on Azure platform.
Capable of collaborating effectively across cross-functional teams including data governance and data science.
Comfortable working under guidance of senior colleagues in an individual contributor capacity within a global technology center.