Senior Data Quality Engineer (Databricks, AWS)
Remote Senior Data Quality Engineer with experience in DSE Python and AWS Databricks.
The successful candidate needs to have strong analytical skills and excellent communication skills.
Responsibilities
- Ensure data quality and integrity across all platforms and systems
- Collaborate with cross-functional teams to design and implement data management
- Develop and execute test scenarios to validate data management systems
- Provide technical guidance and mentorship to junior team members
- Work directly with customers to validate data requirements and manage data quality issues
Requirements
- 3+ years of experience in Data Software Engineering
- Strong working knowledge of DSE Python, AWS Databricks and Apache Spark
- Familiarity with testing methods (TDD, BDT, DDT)
- Experience with data ingestion pipelines, data warehousing and data lakes
- Understanding of CI/CD principles and best practices in data processing
Nice to have
- Familiarity with Amazon QuickSight, Microsoft PowerBI
- Experience with Big data technologies such as Apache Hadoop and Apache Hive
We offer
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
Seniority level
Employment type
Job function
- Information Technology, Engineering, and Business Development
Industries
- Software Development, IT Services and IT Consulting, and Venture Capital and Private Equity Principals
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