Big Data Engineer - Spark / Hadoop

Roles and Responsibility :

• 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.

(ref : hirist.tech)