REMOTE in Bangalore - Sr. Data Quality Engineer (Python)

Insight Global
Burbank, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Burbank, United States of America

Tech stack

Amazon Web Services (AWS)
Big Data
Data Validation
Information Engineering
ETL
Hadoop
Hive
Python
Scrum
SQL Databases
Snowflake
Spark
Software Coding
Databricks

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

Requirements

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., 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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