| Sr Data Engineer /ETL/Power BI/Data Warehouse, MI / Hybrid, 12+ Months at Remote, Remote, USA |
| Email: [email protected] |
| Hello Vendors, PLEASE SEND ONLY CANDIDATES WHO ARE LOCAL TO AND CLOSER TO MICHIGAN (TROY). NEED DL COPIES AS A PROOF FOR SUBMISSIONS. Job Title: Sr Data Engineer /ETL/Power BI/Data Warehouse This position will require a final in person interview. 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. 1. How many years working with: Sr. Data Engineer 2. How many years working with: ETL 3. How many years working with: Business Intelligence 4. How many years working with: Data Warehouse Job Description: Job Summary: The Sr. Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise. Job Requirements: High School Diploma, GED, or foreign equivalent required. 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 APIs, 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. Experience with migrating, architecting, designing, building and implementing cloud data lake, data warehouses (cloud/on-prem), data mesh, data as a service, and cloud data marketplace. Expertise in Relational Database Management System, Data Mart and Data Warehouse design. Expert-level SQL development skills in a multi-tier environment. Expertise in flat file formats, XML within PL/SQL, and file format conversion. Strong understanding of SDLC and Agile Methodologies. Strong understanding of model driven development. Strong understanding of ETL best practices. Proven strength in interpreting customer business needs and translating them into application and operational requirements. Strong problem-solving skills and analytic skills with proven strength in applying root cause analysis Thanks and Regards Ramakrishna Recruitment Consultant Amtex Enterprises Inc https://www.linkedin.com/in/gsramakrishna/ [email protected] -- Keywords: artificial intelligence machine learning business intelligence sthree information technology procedural language Michigan Sr Data Engineer /ETL/Power BI/Data Warehouse, MI / Hybrid, 12+ Months [email protected] |
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| Tue Oct 29 23:30:00 UTC 2024 |