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Senior specialized big-data role with metro location yields moderate applicant density and competition.
Core big-data engineering skills are transferable across industries, but Scala/Spark and domain context raise sensitivity.
Explicit 8+ years, hands-on Scala/Java, Spark/Hadoop, and team-leading experience create strict shortlisting filters.
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Build, manage, and optimize large-scale Big Data pipelines and infrastructure to support analytics for utility and energy sectors.
Collaborate with product management and engineering leadership to design and select Big Data tools and frameworks at scale.
Lead and mentor the India data engineering team, owning critical modules' development and troubleshooting production issues.
6 to 9 years of experience in Big Data engineering and pipeline development.
Bachelor's degree in Engineering, Computer Science, or related field.
Strong technical expertise in Spark, Akka, Storm, Hadoop, ETL/data pipeline tools (Apache NiFi, Airflow), and Java/Scala programming.
Experience in team leading and product/module development ownership.
Experienced in designing scalable distributed data processing systems and frameworks for large structured datasets.
Capable of independent ownership with proactive initiative-taking in multi-product environments involving cross-geography collaboration.
Comfortable leading technical excellence and engaging with US and India teams with strong communication and client coordination skills.