Data Warehouse Specialist

SUMMARY:
Exciting Data Engineer opportunity with a successful, Data-Science focused organization applying the latest AI and ML techniques to the massive amounts of real-world data generated by Insurance companies.

POSITION INFO:

Description:

The right individual must have experience in setting up ETL packages using both Microsoft SSIS and TSQL. The BI ETL Developer should have a firm grasp of standalone ETL solutions (single package processes) as well as ETL Solutions that fit into a data warehouse environment (Dimensional and Fact tables).

Education: 

• BSc Degree or Diploma in IT

Skills:

• 5+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including, but not limited to, any of the following combinations (1) SSIS and SSRS, (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.
• The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM, and DB2, etc) will also be beneficial.
• Experience with designing and implementing Cloud (AWS) solutions including full use of all APIs available.
• Experience with Dev/OPS architecture, implementation, and operation.
• Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing, and distributed systems to solve business problems with data.
• Experience in applying SAFe/Scrum/Kanban methodologies.
• Knowledge and understanding of business process management lifecycle which covers the design, modeling, execution, monitoring, and optimization as well as business process re-engineering.
• Strong problem-solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution.

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