Remote Data Engineer (IBM DataStage + DB2)

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Description:

  • The Data Engineer will be responsible for developing and maintaining DB2 code.
  • They will analyze data to solve new and existing business issues.
  • The role involves reviewing query performance and optimizing code.
  • Providing production level support is a key responsibility.
  • The Data Engineer will be required to fully document all processes created.
  • The position requires sound experience in developing data integration solutions using IBM DataStage and DB2.
  • Working knowledge of Data Integration techniques such as ETL, Replication, and Profiling is necessary to support business needs.

Requirements:

  • Upper intermediate English level with good verbal and written communication skills.
  • Intermediate to high level experience with SQL.
  • Intermediate to high level experience with ETL using IBM DataStage.
  • Experience and background in one of the following databases: MS SQL Server, DB2, Oracle. Working knowledge of Hadoop/Data Lakes is a plus.
  • Must be a team player with excellent communication and interpersonal skills.
  • Ability to follow best practices, development guidelines, and standards effectively.
  • Must have the ability to understand complex technical concepts.
  • Excellent analytical and problem-solving skills are required.
  • Attention to quality and detail is essential.
  • The ideal candidate should be motivated, enthusiastic, and able to work on their own initiative.
  • Knowledge in domains such as Prescriptive and Predictive Analytics, Artificial Intelligence, Machine Learning, Data Science, Information Management, Big Data, or IoT is a plus.
  • A Bachelor’s degree in information science or a related field is a plus.

Benefits:

  • Remote job opportunity.
  • Opportunity to work with cutting-edge technologies like IBM DataStage and DB2.
  • Chance to work on challenging data integration solutions.
  • Room for professional growth and development.
  • Exposure to various databases and data integration techniques.
  • Collaborative work environment with a focus on best practices and standards.
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