Please share resume for below role.
Title – QE Data Engineer
Location – Remote
Job Description –
ETL Quality Engineer
Basic Description
● 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 operational
data 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 bugs
● Mentor fellow Test Engineers on the team to ramp up on automation concepts and contribute towards expanding test coverage
Job Qualifications –
● 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/BDD or similar tools
● Experience in a range of common big data tools & technologies such as Airflow, Hive, Snowflake, Databricks, 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