Insight Global
Website:
insightglobal.com
Job details:
Job Description
A streaming client is in need of hiring a unique candidate who is a Data Quality Engineer who not only understands data and has the technical background, but also someone who has a 'quality engineering and testing mindset', who is passionate about testing. This role is crucial for a company-wide integration initiative that affects business, technology, and content integrations of this company's streaming services into it's broader streaming ecosystem. It involves:
• Merging platforms
• Consolidating tech stacks and data pipelines
• Unifying content and sports rights
• Migrating users and subscriptions at massive scale
• Reorganizing teams and governance
This is a technical role where you are required write clean/strong Python code, but also have strong QA/testing skills (i.e. create test plans and test cases, and ensure extensive coverage). In addition, you may also be responsible for helping build the automation process/framework(s) for data validation for all streaming-related data for subscriber info (etc.), from this client's multiple streaming platforms. You will be required to attend team/scrum meetings and sprint stand ups and planning sessions. You will use automation while doing ETL validations (i.e. the ETL is already built by a different team), so you will be responsible for validating the ETL and adhere to standards. In addition, this team is really looking for a candidate who is passionate about learning, is collaborative, and has excellent communication. This is NOT a Python programming role, it is strictly a QA testing role within data engineering/quality.
Required Skills & Experience
-Must be able to work from ~2-10pm IST, but also be expected to log on/work until 12am IST to be on stand up meetings with the team
-5-10 years of experience as a Sr. Data Quality Engineer/Tester, who is focused on/passionate about testing data/ETL pipelines, etc.
-Strong Python programming/coding skills AND strong QA/testing skills
-Strong background in SQL, and conducting/building strong test cases and plans
-ETL testing/validation experience
-Understanding of business logic validations
-Big data experience (Hadoop, Spark, Hive - any is fine)
-Experience working in a Scrum environment
AWS experience
-Databricks experience
-Snowflake experience
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