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Metro location, common data-engineer title, and broad required skills increase applicant competition.
Core data engineering skills transfer across industries despite energy domain context.
Explicit seniority, mandatory Big Data experience and specific tech stack increase screening rigor.
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Lead design, implementation, and maintenance of scalable Big Data pipelines for processing large structured datasets, using tools like Spark, Akka, and Hadoop.
Collaborate with Product Management and Engineering leadership to devise optimal Big Data solutions and integrate them with company-wide architecture.
Lead and mentor India engineering team on technical ownership of critical modules with responsibility for troubleshooting and client coordination.
8+ years experience developing scalable Big Data pipelines with hands-on team or module leadership.
Proficiency in Java or Scala with strong coding skills and knowledge of design patterns.
Experience with Big Data ecosystem tools including Spark, Akka, Storm, Hadoop, and ETL/pipeline tools like Apache NiFi, Airflow.
Bachelor's degree in Engineering, Computer Science, or related field, based in Pune, India, available for full-time onsite work.
Experienced senior engineer comfortable working across distributed teams in India and US with minimal supervision.
Technically strong individual contributor who can lead module development and proactively improve existing data pipelines.
Familiar with Agile methodologies and skilled in problem solving under pressure while managing multiple tasks.