IT Data Engineer-Level 3
Analytics
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Infrastructure
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Dataproc
DevOps
DevSecOps
Digital Marketing
ETL
Google Cloud
Informatica
Information Technology (IT)
Infrastructure As Code
Microsoft
Power BI
Power Platform
Reporting and Analytics
SQL
Visual Design
Job Description
Lead the design and delivery of enterprise data engineering capabilities supporting analytics and machine learning.
Responsibilities
- Work on data engineering pipelines, data modeling, analytics, and troubleshooting complex data issues
- Assess and identify data acquisition strategies for enterprise needs
- Design and develop programs to acquire data into Data Lake and Data Warehouse from transactional systems using appropriate tools and third-party adaptors
- Collaborate with the data team to leverage cloud technology platforms for analysis, data model development, and report or visualization generation
- Design the data flow that enables:
- Data Scientists to build views for ML use cases
- Data Analysts to build reports and dashboards in Looker or Power BI
- Identify, design, and develop database artifacts such as Tables, Calculation Views, and SQL Script Procedures to stage large volumes of input and output data in the Data Lake
- Participate in the SDLC, including status reporting, design reviews and approvals, detailed functional and technical documentation, and migration of artifacts to production
Requirements
- Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, or a related quantitative field
- Minimum 5 years of data engineering experience
- Experience designing and supporting enterprise data pipelines and data integration solutions
- Experience with cloud-based data platforms: GCP, AWS, or Azure
- Strong SQL and data modeling skills
- Experience with Spark/PySpark and one or more of: Dataflow, Dataproc, Data Fusion, Hadoop, Terraform, or similar technologies
- Experience with CI/CD practices and source control tools
- Experience integrating data from enterprise systems into analytical platforms
Technologies
- SQL, Spark, PySpark
- Dataflow, Dataproc, Data Fusion
- Hadoop, Terraform
- GCP, AWS, Azure
- Looker, Power BI
- CI/CD
- Data Lake, Data Warehouse
Preferred
- Experience with GCP
- Experience with SAP technologies: SAP ECC, BW, CRM, EWM, Hybris, HANA, SLT, SDI, SDA, or related ERP technologies
- Experience supporting analytics, reporting, ML, and AI use cases
- Experience with Looker or Power BI
Benefits
- Comprehensive and competitive medical, dental, and vision benefits, with premiums below the national average
- Flexibility with four medical plan options; one plan offered at zero cost
- Competitive Pay
- 401(k) with Company Match/Profit Sharing/Employee Stock Ownership Plan (ESOP)
- Disability, Life, and AD&D Insurance, 100% Company Paid
- Paid Time Off and Holidays
- Skills Development, Training, and Career Advancement Opportunities
Location: Mason, OH, US (onsite)
Job Category: Information Technology
Organization: Operations
Employee Status: Regular
Schedule: Full Time
Shift: 1st Shift
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