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 have.

Requirements :

- 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