Data Engineer, Data Governance & Compliance

Rocket Mortgage•Detroit, MI

5d•Hybrid

About The Position

As a Data Engineer, you engage in the design, development and maintenance of data platforms and solutions, including applying data management principles to pipelines and delivering analytical and operational solutions to provide visibility and enable decision-making. You develop data integration solutions and work with cross-functional teams to build products and services to meet business needs. Identify, investigate and solve data quality issues and ensure data is secure and reliable Develop Extract, Load, Transform (ELT) processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency Develop data processing scripts Work in a hybrid data environment with on-premises and cloud data warehouses Develop relational and non-relational data models to shape data to meet user needs Monitor performance and scalability issues in a large-scale data lake environment

Requirements

5 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services
3 years of experience or equivalent competency analyzing data to identify deliverables, gaps and inconsistencies
Expertise writing simple and complex queries (SQL/NoSQL)
Expertise debugging and troubleshooting applications
Proficiency in a functional or object-oriented programming language

Nice To Haves

Degree or equivalent competency in computer science, information technology, or a related field
3 years of experience with big data and distributed data tools, such as Python and Lambda
3 years of experience with continuous integration and continuous delivery (CI/CD) and automated deployments
Knowledge of Linux system administration, shell scripting and basic networking skills
Experience accessing and developing REST APIs

Responsibilities

Identify, investigate and solve data quality issues and ensure data is secure and reliable
Develop Extract, Load, Transform (ELT) processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency
Develop data processing scripts
Work in a hybrid data environment with on-premises and cloud data warehouses
Develop relational and non-relational data models to shape data to meet user needs
Monitor performance and scalability issues in a large-scale data lake environment