Big Data Engineer SE SSE TL

  • Job ID: U4ZS8TKQUA
  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Bangalore/Bengaluru
  • Experience: 4-9yrs
  • No. of Positions: 10
  • Salary Range: 4-10 lac
  • Primary Skills: s3 Java algorithms data modelling Cassandra Big Data HDFS Kafka Data Frames Bucketing Spark Streaming SQL
  • Secondary Skills: Hive Partitioning Caching collections Broadcasting data structures multithreading Spark Checkpointing. Salting
  • Job Location: Bangalore/Bengaluru
  • Posted Date: 5 days ago
Job Description

Roles and Responsibilities

  • Position - Big Data Engineer (SE/SSE/TL)
  • Location – Bangalore
  • Exp – 4 – 10 Yrs
  • Reports to: Development Manager

SSE- strong Exp in Java with some exposure in Big Data (should have big data conceptual knowledge) Exp- 3-6 years

TL- strong Exp in Java + strong Exp in Big Data+ some mentoring Exp Exp- 6-10 years

Job Description:


As a Big data engineer you will be responsible for


  • Design and development of low-latency, highly-performance data analytics applications
  • Collaborate with peer engineers and architects on various technical projects to maintain and enhance data analytics solutions
  • Participate in code and design review of different application modules
  • Write and run comprehensive integration tests to deliver high-quality products
  • Capacity planning and specification of resource requirements for different deployment scenarios
  • Trouble-shoot and provide fix for any production bug in timely manner
  • Gather feedback from stakeholders for improvement in code-stack and feature-sets
  • Assist documentation team in providing good customer documentation, support and deployment guides
  • Adopt agile practice to track and update status of assigned tasks/stories

Educational Qualification:



  • BE. / B.Tech., M.E./M. Tech. or M. Sc. in Computer Science or any related field.


Desired Candidate Profile


Skill Set:

  • Hands on programming experience in Java is must.
  • Candidate should have practical knowledge of object-oriented programming concepts, data structures, algorithms, multithreading, collections, concepts of garbage collection.
  • Conceptual understanding of Big Data concepts, relevant experience of minimum 2 years on Big Data Technologies- HDFS, s3, Spark, Spark Streaming, Kafka, Hive, Cassandra, etc is required.
  • Expertise in performance tuning and resource optimization techniques of spark – Broadcasting, Salting, Bucketing, Partitioning, Caching, Checkpointing.
  • Hands-on experience with spark streaming, Data Frames and SQL API.
  • Well familiar with data-warehousing concepts, data modelling, metadata management, data lineage etc is desirable.
  • Some exposure to UI technologies is good to have.
  • Well familiar with distributed systems, scalable architecture and parallel computing.
  • Exposure to relational database like Oracle & MySQL is must.
  • Good understanding of source code maintenance tools and CI/CD (Continuous integration/continuous Development) pipelines.


Work Experience:


  • 3 -10 years of experience in Data platform and analytics application development


Location: Bangalore




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