- 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.

- 3+ years of experience in developing highly scalable Big Data pipelines.

- 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 elegant, readable, maintainable and extensible code style.

You are someone who would easily be able to :

- Work closely with the US and India engineering teams to help build the Java/Scala based data pipelines

- Lead the India engineering team in technical excellence and ownership of critical modules; own the development of new modules and features

- Troubleshoot live production server issues.

- Handle client coordination and be able to work as a part of a team, be able to contribute independently and drive the team to exceptional contributions with minimal team supervision

- Follow Agile methodology, JIRA for work planning, issue management/tracking