Professional Search Group is actively working with an dynamic international media & entertainment company that is looking for an Quality Engineer / Data / ETL Tester . This contract role is hybrid, and must be in office a minimum of two days a week. Preferably a commutable distance to Santa Monica, CA!
*Candidates must reside in the US. Company cannot sponsor visas. (No contract or C2C.)
Have you aspired to partner with one of the largest international companies in the world?
Be proud of the brand you support with a variety of branches in sports, entertainment, streaming, and more!
Join this team and you will have great compensation, a progressive company culture, with many career growth opportunities across the world!
At the Company Streaming, data is imperative to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open-source technologies and offering transparency into customer behavior and business performance.
Our data team is seeking a passionate Data / ETL Tester who will be an outstanding addition to our Quality Team. As a Software Developer focused on test automation for the Acquisition data pipelines, you will help validate our next-generation data analytics platform utilizing the most advanced data
technologies. You should be willing to go to the depths to tackle complex problems and have the curiosity to explore and learn new technologies for innovative solutions.
Are you someone who enjoys answering difficult data questions, passionate about near real time data processing and enjoys the play hard/work hard environment? If so, then this is a great role for you!
WHAT YOU’LL DO
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
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