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Metro Bangalore, popular data-engineering lead role with broad Spark/Hadoop/Python/cloud requirements increases competition.
Core data engineering skills transfer across industries, but big-data and Spark-specific experience increases domain sensitivity.
Mandatory 8+ years plus deep Hadoop/Spark, Python/Scala and cloud architecture experience makes filters strict.
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Lead design and development of scalable, fault-tolerant big data platforms using Hadoop, Spark, and related technologies.
Engage regularly with Fortune 500 clients, including VP and Director levels, to understand and align with strategic requirements; may include client site travel.
Provide technical leadership, mentoring developers, managing day-to-day technical operations, and participate in hiring technical talent.
8+ years of relevant work experience in data engineering or related technical discipline with a Computer Science degree or equivalent.
Proven experience with big data technologies including Hadoop and Spark; strong programming skills in Python or Scala.
Experience with large-scale enterprise applications and cloud infrastructure like GCP/AWS preferred.
Effective communication skills with ability to interface with senior client stakeholders; travel to client locations required.
Experienced technical leader comfortable balancing hands-on coding with managing and mentoring teams in a high-growth, fast-paced startup environment.
Strategic thinker able to translate business requirements into technical solutions and engage with senior clients regularly.
Deep expertise in big data ecosystems (Hadoop, Spark, Kafka) and cloud technologies, preferably with background in building enterprise-scale, production-ready data platforms.