LATAM - Quality Engineer/Tester (Data + Python) - REMOTE Job at Lensa, Santa Monica, CA

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  • Lensa
  • Santa Monica, CA

Job Description

Lensa is the leading career site for job seekers at every stage of their career. Our client, Insight Global, is seeking professionals. Apply via Lensa today!

Job Description

THIS IS AN OFFSHORE ROLE, ONLY ACCEPTING CANDIDATES IN LATIN AMERICA

A streaming client is in need of hiring a unique candidate who is a true Data Engineer who not only understands data and has the technical background, but also someone who has a 'quality engineering and testing mindset' and who is passionate about testing. This is a technical role where someone will be responsible for helping build the automation process. You will be responsible for validating 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. You must also know write queries as well as test your own scripts/queries. In addition, this team is really looking for a candidate who is passionate about learning, is collaborative, and has excellent communication.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form ( . The EEOC "Know Your Rights" Poster is available here ( .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: .

Skills And Requirements

THIS IS AN OFFSHORE ROLE, ONLY ACCEPTING CANDIDATES IN LATIN AMERICA

  • Must be able to work EST hours
  • THIS ROLE IS REMOTE IN LATAM (candidates located in Brazil, Chile, Colombia, Costa Rica, Dominican Republic, El Salvador, Guatemala, and Peru is required)
  • 3-5 years of experience as a Data Engineer with ETL testing/validation experience (*this team is looking for a true Data Engineer with a 'Quality Engineer mindset' and who is also passionate about testing)
  • Must have previous experience automating the data validation process
  • Strong background in SQL; experience writing solid test cases
  • Big data processing experience/ experience working with large data processes/amounts of data
  • Experienced in Python programming -Experience working with Databricks
  • Experience working with Snowflake
  • Understanding of business logic validations
  • Big data experience (Hadoop, Spark, Hive - any is fine)
  • Experience working in a Scrum environment null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

Job Tags

Remote job, Offshore,

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