Data Engineer

The Data Engineer is responsible designing, developing, testing, and maintaining complex data solutions for the product. Data Engineers play a key role in mentoring and influencing peers to achieve commitments on data solutions in a timely fashion and with an emphasis on quality. This role also has a broader influence through technical thought leadership amongst their peer tech lead community. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.

Responsibilities

• Develops and troubleshoots data integration solutions with complex data transformations and provides guidance to other team members
• Influences other team members to achieve commitments per guidance from Chapter Leads and actively contributes to agile ceremonies
• Demonstrates strong technical aptitude across data engineering practices:
• Utilizing variety of tools to profile, secure the data in transit and at rest; and to enforce data Governance Controls and Alerting
• Designing advanced SQL querie
• Leveraging metadata-driven framework for solutions
• Developing test scripts for unit and integration testing
• Develops test methodologies for specific products
• Leads code review sessions and other process and operational improvement initiatives
• Exhibits fluency with use of supplemental tools and technologies involved in data integration (Unix/Linux, TWS/Control-M or alike, BI stack)
• Works on holistic solutions, driving feature and story delivery (Agile)
• Identifies and effectively communicates upstream and downstream impacts for changes in the data pipeline
• Participates in the on-call rotation for support
• Demonstrates effective and clear communication in team and cross-functional meetings, and lead tech communities
• Builds strong collaborative working relationship both within the team and cross-functionally

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelor's Degree in Computer Science or related field
• 3+ years of experience in Data Platform Administration/Engineering
• Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale

Preferred Qualifications

If we had our say, we’d also look for:

• ETL/ELT Tools (AbInitio, DataStage, Informatica)
• Cloud Tools and Databases (AWS, Snowflake)
• Other programming languages (Unix scripting, Python, etc.)
• Leverage CI/CD framework for data integration, Open Source
• Experience working in cloud platforms (AWS, GCP, Azure)
• Basic understanding of key infrastructure concepts (data centers as well as cloud hosting platform) to support business data needs
• Experience optimizing SQL both relational and nosql

External applicants will be required to perform a technical interview.

External applicants will be required to perform a technical interview.

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