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Data Engineer
2 months ago
Title: Data Engineer
Location- Hybrid (Chicago, IL or Peoria, IL)
Duration- 12-month rolling contract
Top Skills - Must Haves
- Snap logic or Talend or Boomi or Mulesoft (must have one)
- sql
- snowflake
- AWS
Top Skills' Details:
1.) Strong SQL and Snowflake skills
2.) ETL skills using snaplogic (if they don't have snaplogic similar tools such as talend, boomi, mulesoft are ok)
2.) Dimensional and relational data modeling
3.) Experience with database security and performance
Secondary Skills - Nice to Haves
Job Description
The Cat Digital BI Team owns 50 dashboards and has 8 visualization resources to support the ** Client** Aftermarket growth initiatives. **Client** has large growth initiatives in the aftermarket supported by Cat Digital and the Industry partners to enable this growth. The dashboards provide scorecards, insights and exploration of the key KPIs, tools and growth initiatives for the organization. With the number of dashboards and focus on these initiatives, the team has a high number of ETL asks to enable ‘Best-in-class’ visualizations. This resource would support our two full-time on-shore Data resources.
This data engineer will be working with 2 leads to support the ETL of data needed for the dashboards using Snaplogic.
Data Specialist to assist with enabling BI (Business Intelligence) datasets to support Tableau dashboards. Primarily be working in Snowflake and Snap Logic to enable. Strong SQL and Snowflake required. Snap Logic, Tableau, GA4 and Python are added bonus.
- Maintain and enhance Snowflake data warehouse to enable Insights and Reporting Teams
- Competent to perform all necessary data related task which could include data design, data quality, metadata management, data governance etc
- Troubleshoot on complex problems and provide solutions to data issues
- Liaises with global teams to support project planning for efficient creation/maintenance of high-quality data
- Ensure compliance with the latest data standards supported by the company, and brand, legal, information security (data security and privacy compliance)
- Maintain knowledge of functional technology of the data management systems as they change with upgrades and new releases
- Contribute to designing robust, scalable data extraction, transformation and loading (ETL) solutions
- Develop data ingestion store specifications identifying source systems and the tables and fields to ingest.
- Develop data object pipeline specifications including detailed field level mapping, business rules, data quality rules, etc.
Typical task breakdown:
- Requirement gathering
- Data exploration
- Data preparation and transformation
Additional Skills & Qualifications
(Desired)
- Snap Logic, Tableau, GA4 and Python
- Strong statistical and mathematical knowledge
- Completion of relevant industry-specific certifications
