Position: Data Analytics Engineer
Duration: 12 Months
Location: Schaumburg, IL (25% Travel)
Job Description
As a Senior Data Engineer develop, maintain and support, data pipelines to move data from the enterprise application to our data lake / warehouse analytical stores. Collect and monitor the metrics necessary to quantify system performance and forecast future capacity needs.
Responsibilities
- Develop data pipeline.
- Work closely with the Data Warehouse team and other Engineering teams to build ideate and collaborate on solutions,
- Serve as a thought leader within the Tech Organization to build new and improved data tools and services
- Conduct an assessment and development of Operational Dashboards with a focus on Azure.
- The role involves comparing and optimizing the current operational dashboards to improve efficiency and reporting capabilities.
- Test the data pipeline code to ensure quality builds.
Requirements
- Bachelor's degree or equivalent experience in computer science, information technology, or a related field.
- 8+ years’ experience in BI Engineering and Data Engineering
- Experience in schema design for decision support, particularly dimensional data modeling, building data marts, data lakes etc
- Strong skills in SQL (query plan optimization, windowing functions, aggregate design for example)
- Expertise in Snowflake, PostgresDB, Redshift or DataBricks
- Experience with Python
- Excellent technical writing and verbal communication skills.
- Good communication skills and leadership skills.
- Detail-oriented with a strong analytical mindset and problem-solving capabilities
Best Regards,
Chetna
630-425-6471 -D
815-600-8657-Fax
Chetna@smartcaliber.com
www.smartcaliber.com
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