Lead Data Engineer (Enterprise Data Quality)
Job Description
At Discover, be part of a culture where diversity, teamwork and collaboration reign. Join a company that is just as employee-focused as it is on its customers and is consistently awarded for both. We’re all about people, and our employees are why Discover is a great place to work. Be the reason we help millions of consumers build a brighter financial future and achieve yours along the way with a rewarding career.
Responsible for designing and developing data-driven platforms and next-generation analytic technologies.
Responsibilities
- Designs and develops complex and critical data projects.
- Designs and develops real-time processing solutions.
- Creates and enhances data solutions that enable seamless integration and flow of data across the data ecosystem.
- Designs and develops data ingestion frameworks, leveraging open-source tools and data-processing frameworks.
- Develops, implements, and supports application codes and analytical models.
- Designs solutions for metadata management, data quality, sensitive data management, and data steward activities.
- Develops and codes solutions for metadata management, data quality, sensitive data management, and data steward activities.
- Implements some improvements in architecture, team processes, and functions.
- Understand the role of metadata in capturing data lineage, and supporting data quality.
Minimum Qualifications
At a minimum, here’s what we need from you:
- Bachelor’s Degree in Computer Science, or related field
- 5+ years of experience in Data Platform Administration/Engineering
Preferred Qualifications
If we had our say, we’d also look for:
- Advanced Microsoft office skills, especially advanced Excel skills
- Ability to analyze complex data, business processes, and information flow needs.
- Basic understanding of the importance of data
- Familiarity with metadata concepts
- Familiarity with data profiling techniques
- Basic relational database skills
- Basic Windows and Unix operating systems skills
- Exposure to data governance, data standards and data policies
- Experience with metadata management tools.
- Clear and effective communicator: written and verbal
- Ability to convey complex concepts to business stakeholders in terms relevant to the business
- Organized, structured, methodical.
- Strong prioritization and time management skills.
- Relevant Technology Certifications
- Basic Data Visualization Skills
- Office Macro Development Skills
- Ability to write moderately complex SQL queries.
- Basic Data Modeling Skills
- Basic skills in Big Data platforms
- Development Skills in Python
- Development Skills in R
- Knowledge with Metadata Hub
#LI-KE
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.