About The Position

Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration; Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology; including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice

Requirements

  • 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases
  • Proficient in programming languages such as Python and PySpark/Scala/Java
  • Experience with Apache Spark in On-prem / Cloud (Databricks / EMR / DataProc HDInsight)
  • Working knowledge of API development
  • Experience in building data pipelines in ETL/ELT methods
  • Experience with integration of data from multiple data sources
  • Experience in one of the NoSQL databases; such as HBase; Cassandra; MongoDB

Responsibilities

  • Implement Data integration and Data Warehouse based solutions using Big Data Technologies.
  • Develop cost efficient and performant data pipelines in the cloud platform
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