Associate Product Architect- Big Data

Bengaluru, India


8+ years


  • Work with extremely talented peers in a competitive and fun filled environment building performance efficient, highly scalable, configurable solutions spanning multiple
    technologies and platforms
  • Work in a Cross functional team along with other Data Engineers, QA Engineers and DevOps Engineers
  • Work with Functional Analysts to understand the core functionalities of the solution and
    build Data Models , Design Documents
  • Develop, test and implement data solutions based on finalized design documents
  • Ensure adherence with Security and Compliance policies
  • Stay up-to-date with evolving cloud technologies and development best-practices including open source software
  • Mentor colleagues within the team
  • Work in an Agile Environment


  • BE, BS or MS in Computer Science or related field with overall 5 Plus Years of working experience
  • Proficiency in SQL Writing, SQL Concepts, Data Modelling Techniques & Data Engineering Concepts is a must
  • Hands on experience in ETL process, Performance optimization techniques is a must
  • Candidate should have taken part in Architecture design and discussion
  • Minimum of 4 years of experience in working with batch processing/ real-time systems
    using various technologies like Data bricks, HDFS, Redshift, Hadoop, Elastic MapReduce
    on AWS, Apache Spark, Hive/Impala and HDFS, Pig, Kafka, Kinesis, Elasticsearch and
    NoSQL databases
  • Minimum of 4 years of experience working in Data warehouse or Data Lake Projects in a
    role beyond just Data consumption
  • Minimum of 2 years of extensive working knowledge in AWS building scalable solutions
  • Equivalent level of experience in Azure or Google Cloud is also acceptable
  • Minimum of 2 years of experience in programming languages ( preferably Python )
  • Experience in Graph Databases is a good to have
  • Experience in Pharma Domain will be a very Big Plus
  • Familiar with tools like Git , Code Commit , Jenkins , Code Pipeline
  • Familiar with Unix/Linux and Shell Scripting