Sr Data Engineer /ETL/Power BI/Data Warehouse, MI / Hybrid, 12+ Months
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Sr Data Engineer /ETL/Power BI/Data Warehouse, MI / Hybrid, 12+ Months
Location: Hybrid/Troy, MI - 3 days a week
We need: A senior (10+ years) Data Engineer with extensive experience working with ETL, Business Intelligence (Cognos or Power BI) and Data Warehouse experience.
Candidates must be LOCAL to the TROY, MI area and COMMUTE into the office THREE TIMES A WEEK. NO RELOCATION CONSIDERED.
Bachelor's in Computer Science, Mathematics or related field + 7 years of development experience preferred, or 10 years comparable work experience required.
10 years of experience designing, developing, testing, and implementing Extract, Transform and Load (ELT/ETL) solutions using enterprise ELT/ETL
15 years of comparable work experience.
10 years of experience developing and implementing data integration, data lake and data warehouse solutions in an on-premise and cloud environment.
5 years of experience working with Business Intelligence tools (IBM Cognos is preferred), Power BI and Alteryx.
7 years of experience working with API s, data as a service, data marketplace and data mesh.
10 years of experience with various Software Development Life Cycle methods such as Agile, SCRUM, Waterfall, etc.
3-year experience in 100+ TB data environment.
Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage, Informatica, Matillion, FiveTran, Talend or Dbt
Knowledge of AWS cloud services such as S3, EMR, Lambda, Glue, Sage Maker, Redshift & Athena and/or Snowflake.
Experienced in data modelling for self-service business intelligence, advanced analytics, and user application.
Experience with Data Science including AI/ML Engineering, ML framework/pipeline build and predictive/prescriptive analytics on Aws Sagemaker.