Job Description: Analyze, design, develop and test advanced data warehouse solutions on databases such as RedShift, Oracle and DB2
Development of ETL (Extract, Transform & Load) programs using the InfoSphere DataStage tool suite and Apache Spark
Develop and deploy DQ platforms leveraging Quality and Profiler components
Define and integrate client specific ETL best practices. Leverage, modify and customize Daman Standard ETL architecture components in developing client integration solutions
Build data integration bridges between AWS applications, Azure applications, Hortonworks (onprem) and AWS Cloud Requirements Advanced experience with InfoSphere DataStage is required
Strong experience with one of the following: Netezza, RedShift
Experience working with Cloud data platforms (AWS is preferred)
Strong experience with building real time ETL solutions using Apache Spark streaming or Kafka
Strong knowledge of DBMS concepts: good conceptual understanding of data structures and basic algorithms (e.g. Stacks, sorting, queues)
Must have experience writing & deploying stored procedures, tuning SQL scripts/queries and using database monitoring facilities
Energetic, self-motivated and versatile individual who is goal and deadline oriented and exhibits strong technical communication skills.
A strong understanding of tool architecture and tool certification is desired. However, Daman will offer certification and training to candidates who meet most of the other requirements
by via developer jobs - Stack Overflow
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