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Senior Data Quality Engineer (Databricks, AWS)
Data Software Engineering, Amazon Web Services, Databricks, Python, Apache Spark, Big Data, Microsoft Power BI, Amazon QuickSight
Sorry, this position is no longer available
We are looking for a remote Senior Data Quality Engineer with experience in DSE Python and AWS Databricks. The successful candidate need have someone with strong analytical skills, 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
- Upper-intermediate English language skills (B2+)
Nice to have
- Familiarity with Amazon QuickSight, Microsoft PowerBI,
- Experience with Big data technologies such as Apache Hadoop and Apache Hive
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- 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