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Tier-1 brand, popular big-data role, metro location, and broad skill requirements raise applicant competition.
Core big-data and Azure skills transfer across industries, so industry fit sensitivity is moderate despite BFSI preference.
Explicit 8+ years plus mandatory big-data, Azure, Spark, and Databricks skills make filters stringent.
Design, build, and maintain ETL/ELT pipelines on Azure cloud or on-premises for large-scale structured and unstructured data processing.
Lead design, solutioning, and estimations independently, ensuring data pipeline performance, scalability, and compliance.
Mentor Data Engineers and collaborate with stakeholders across Business, Technology, Operations, and D&A teams.
8-10+ years of relevant experience in Big Data Engineering.
Bachelor's degree in Computer Science, Information Technology, or equivalent.
Strong technical expertise mandatory: SQL, Python/Scala, NoSQL (HBase, Cosmos DB), Apache Spark, Hadoop, Hive, Azure Data Factory, Databricks, and related Big Data/Cloud technologies.
Work arrangement is Hybrid location-based in Pune, Maharashtra; Relocation assistance not provided.
Experienced leader in Big Data pipeline design with hands-on skills in Azure cloud services and big data frameworks.
Proven ability to mentor engineers and handle end-to-end solution delivery independently including performance tuning and data quality validation.
Comfortable working across multiple partners including Data Governance, Data Science, DevOps, and BI teams in a complex enterprise environment.