Data Engineer Cloud Specialist
1 week ago
The Data Engineer at Discover is responsible for designing, developing, testing, and maintaining complex data solutions. This role plays a key part in mentoring and influencing peers to achieve commitments on data solutions in a timely fashion with an emphasis on quality.
About Us:
We're one of the world's leading digital banking and payments companies. Our mission is to help people find a brighter financial future. Join us and be the reason millions of people can achieve their goals with our innovative products and services.
Salary and Benefits:
The estimated salary for this position is between $140,000 and $200,000 per year, depending on experience. Additionally, we offer a comprehensive benefits package including medical, dental, vision, and health savings account options. You'll also have access to an employee stock purchase plan and opportunities for professional growth and development.
Key Responsibilities:
- Design and develop complex data solutions using various tools and technologies.
- Mentor and influence peers to achieve commitments on data solutions.
- Actively manage and escalate risk and customer-impacting issues within the day-to-day role.
- Develop and troubleshoot data integration solutions with complex data transformations.
- Leverage metadata-driven frameworks for solutions.
- Exhibit strong technical aptitude across data engineering practices.
Requirements:
- Bachelor's degree in computer science or related field.
- 3+ years of experience in Data Platform Administration/Engineering.
- Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position.
- Primarily performed indoors in an office setting.
- Ability to operate office equipment such as computers, telephones, printers, and calculators.
- Travel up to 10% of the time.
Preferred Skills:
- 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.
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