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AWS Data Engineer

1 month ago

Kanpur, India International Software Systems, Inc. Full time

Senior AWS Engineer -Data Lake

Primary Responsibilities

  • Design and develop data lakes, manage data flows that integrate information from various sources into a common data lake platform through an ETL Tool
  • Code and manage delta lake implementations on S3 using technologies like Databricks or Apache Hoodie
  • Triage, debug and fix technical issues related to Data Lakes
  • Design and Develop Data warehouses for Scale
  • Design and Evaluate Data Models (Star, Snowflake and Flattened)
  • Design data access patterns for OLTP and OLAP based transactions
  • Coordinate with Business and Technical teams through all the phases in the software development life cycle
  • Participate in making major technical and architectural decisions
  • Maintain and Manage Code repositories like Git

You Must Have:

  • 5+ Years of Experience operating on AWS Cloud with building Data Lake architectures
  • 3+ Years of Experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS and Redshift
  • 3+ Years of Experience building Data Warehouses on Snowflake, Redshift, HANA, Teradata, Exasol etc.
  • 3+ Years of working knowledge in Spark
  • 3+ Years of Experience in building Delta Lakes using technologies like Apache Hoodie or Data bricks
  • 3+ Years of Experience working on any ETL tools and technologies
  • 3+ Years of Experience in any programming language (Python, R, Scala, Java)
  • Bachelor’s degree in computer science, information technology, data science, data analytics or related field
  • Experience working on Agile projects and Agile methodology in general
  • Strong RDBMS and data modelling skills
  • AWS cloud certification is a big plus