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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL/ELT pipelines on Azure cloud or on-prem for structured and unstructured data in batch and real-time.
Lead solution design, estimation, and deliver production-grade big data and analytics solutions ensuring reliability, performance, and compliance.
Provide people leadership by coaching, developing, and engaging data and analytics talent while collaborating with cross-functional partners.
Minimum Requirements
12-14+ years of relevant experience in Big Data engineering or related field.
Bachelor's degree in Computer Science, Information Technology, or equivalent.
Proficiency in SQL, Python/Scala; experience with Big Data frameworks (Apache Spark, Hadoop, Hive) and Azure cloud services (Data Factory, Eventhub, Synapse, Databricks).
Work Experience Required: 12-14+ years relevant experience.
Ideal Candidate Profile
Senior-level big data engineer with demonstrated cloud (Azure) expertise and hands-on in designing high-performance data pipelines and architectures.
Experienced leader comfortable with technical solutioning, estimations, and mentoring data engineering teams.
Familiar with industry practices including data governance, data quality, streaming data, and possibly BFSI domain exposure.