Vacancy expired!
- Test and validate ETL logic and Data Pipelines
- Own the quality of every release into production with a data-driven approach
- Create, deliver and continuously improve our quality processes for delivering operationaldata to address all types of subscriber and commerce operations to our stakeholders.
- Partner with Data Analysts, Product and Engineering teams to deeply understand the underlying transactional systems behavior and business use cases.
- Translate reporting and operational technical specifications, including calculations,custom groups, parameters, filtering criteria and/or aggregations into test requirements.
- Build automated and reusable tests for data stores to improve quality and development velocity
- Diagnose issues, report defects, and propose regression tests to catch recurring
- 3 - 5 years' experience in Quality validating ETL pipelines and Data Warehouses
- Expert SQL knowledge and experience working with relational databases as well as a working familiarity with a variety of databases.
- Good experience in data analytics, data engineering, data modeling, data warehousing, and big data platform
- Strong programming (Scala/Java) or scripting skills (Python)
- Experience with but not limited to JUnit/TestNG or similar tools
- Experience in a range of common big data tools & technologies such as Airflow, Hive, Snowflake, Kafka, Spark etc.
- Experience in working with large datasets (Terabytes or more)
- Ability to operate effectively in a team-oriented and collaborative environment
- Excellent communication skills and ability to interact with all levels of end users and technical resources
Vacancy expired!