Onsite/ Hybrid/ Remote: Hybrid (2 days a week onsite)
Duration: 12 months
Rate Range: $92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)
Work Authorization: GC, USC, All valid EADs except H1b
Must have:
Python
SQL
Data Engineering experience
Test Cases
This is Data Engineering and QA Hybrid role - QA with no Data Engineering will not work for this role
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
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