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Senior Associate Data Engineer
| Company | Discover |
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| Location | Wheeling, IL, USA |
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| Salary | $73500 – $124300 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Junior, Mid Level |
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Requirements
- Bachelor’s Degree in Computer Science or related field
- 1+ years of experience in Data Platform Administration/Engineering
- Internal applicants only: technical proficiency rating of advanced beginner on the Dreyfus engineering scale
Responsibilities
- Independently executes a variety of data integration solutions, recognizes data related patterns, and solicits advice on potential approaches
- Contributes opinions to design decisions and understands design tradeoffs
- Develops skills in data warehouse tools, Cloud, agile and other technologies involved in data integration
- Demonstrates and applies knowledge of Data Integration concepts and tools, DW Design concepts and Metadata documentation, Data Profiling tools, Data Security, Data Quality
- Regularly contributes to team agile ceremonies and helps new engineers with onboarding
- Troubleshoots production issues and defects
- Identifies and executes test scenarios and shares test results
- Participates in the on-call rotation for support
- Analyze domain data to become knowledgeable on data characteristics and relationships across multiple data sources through query development
- Develop data pipelines using DevOps tools and Cloud technologies
- Achieve team commitments through collaboration with other engineers, architects, product owners, data scientists and business partners
- Contribute to technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data
- Adhere to IT standards and best practices within the system/application infrastructure and compatibility with the architecture of the platform.
Preferred Qualifications
- ETL/ELT Tools (Ab Initio, DataStage, Informatica)
- Strong experience with SQL, preferably Snowflake
- Data analysis skills, including data cleansing, data visualization, and/or critical thinking
- Experience in supplemental tools and technologies involved in data integration (Unix/Linux, TWS/Control-M or alike, BI stack)
- Experience working with relational or no-SQL databases, Cloud Tools
- Other programming languages (Unix scripting, Python, etc.)
- Knowledge of cloud platforms (AWS, GCP, Azure)
- Some Experience with DevOps CI/CD framework, Open-Source concepts, key infrastructure concepts (data centers as well as cloud hosting platform) to support business data needs
