This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
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.