Lead Big Data Engineer - Spark/Hadoop

Responsibilities : - Collaborate closely with Product Management and Engineering leadership to devise and build the right solution. - Participate in Design discussions and brainstorming sessions to select, integrate, and maintain Big Data tools and frameworks required to solve Big Data problems at scale. - Design and implement systems to cleanse, process, and analyze large data sets using distributed processing tools like Akka and Spark. - Understanding and critically reviewing existing data pipelines, and coming up with ideas in collaboration with Technical Leaders and Architects to improve upon current bottlenecks. - Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior Individual contributor on the multiple products and features we : - 8 years of experience in developing highly scalable Big Data pipelines. - Hands-on experience in team leading and leading product or module development. - In-depth understanding of the Big Data ecosystem, including processing frameworks like Spark, Akka, Storm, and Hadoop, and the file types they deal with. - Experience with ETL and Data pipeline tools like Apache NiFi, Airflow, etc. - Excellent coding skills in Java or Scala, including the understanding to apply appropriate Design Patterns when required. - Experience with Git and build tools like Gradle/Maven/SBT. - Strong understanding of object-oriented design, data structures, algorithms, profiling, and optimization. - Have an elegant, readable, maintainable, and extensible code style. (ref:hirist.tech)

Location: pune, IN

Posted Date: 5/1/2025