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Tier-1 brand, Pune metro, mid-level popular data title, and broad Hadoop skillset increase competition.
Core data engineering skills transfer across industries, though Financial Services preference raises sensitivity to medium.
Explicit 6+ years plus mandatory Hadoop/Cloudera/Spark/Airflow/NiFi requirements make hiring filters highly selective.
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Design, develop, and deliver advanced big data solutions within the Hadoop ecosystem with a focus on scalability, performance, and reliability.
Lead technical delivery and architecture for projects using Cloudera distribution, Apache Ozone, Iceberg, Airflow, NiFi, and Spark, ensuring SLA adherence and operational excellence.
Conduct research and evaluations of emerging big data technologies, perform PoCs, and provide technical leadership including mentoring team members.
6+ years of experience in software engineering with 5+ years hands-on in Hadoop ecosystem and Cloudera distribution.
Bachelor's degree in Information Systems, IT, Computer Science, Engineering, or equivalent experience.
Experience with Apache Spark (Scala/Python/Java), Apache Ozone, Apache Iceberg, Apache Airflow, and Apache NiFi is mandatory.
Work Experience Required: 6+ years, including preferred 4-5 years in financial services sector (not mandatory).
Demonstrated capability to lead end-to-end big data projects, including architecture design, technical standards, and operational issue resolution.
Experience in delivering secure, scalable data engineering solutions in financial services or similar regulated sectors.
Proven ability to multitask, provide technical mentorship, and adapt to evolving technologies in geographically distributed teams.