Lead AWS Data Engineer

Vacancy expired!

Must have : Redshift , AWS , Pyspark , EMR

JD

• Candidate should h
• ave
  8+ years of experience in Data Engineering
• Designing, creating, testing and maintaining the complete data management & processing systems.
• Working closely with the stakeholders & solution architect.
• Ensuring architecture meets the business requirements.
• Building highly scalable, robust & fault-tolerant systems.
• Taking care of the
  complete ETL process.
• Knowledge of Hadoop ecosystem and different frameworks inside it – HDFS, YARN, MapReduce, Apache Pig, Hive, Flume, Sqoop, ZooKeeper, Oozie, Impala and Kafka
• Must have knowledge and working experience in Real-time processing Framework (Apache Spark),
  PySpark and in
  AWS Redshift
• Must have experience on
  SQL-based technologies (e.g. MySQL/ Oracle DB) and
  NoSQL technologies (e.g. Cassandra and MongoDB)
• Should have
  Python/Scala/Java Programming skills
• Discovering data acquisitions opportunities
• Finding ways & methods to find value out of existing data.
• Improving data quality, reliability & efficiency of the individual components & the complete system.
• Creating a complete solution by integrating a variety of programming languages & tools together.
• Creating data models to reduce system complexities and hence increase efficiency & reduce cost.
• Introducing new data management tools & technologies into the existing system to make it more efficient.
• Setting & achieving individual as well as the team goal.

Problem solving mindset working in agile environment

Vacancy expired!