QA Data Engineer
Data Quality Assurance
- LocationPune District, Maharashtra, India
- TypeFull-time
- ExperienceNot stated
- SalaryNot disclosed
Python, SQL, PySpark, SQL Server, Oracle, PostgreSQL
Overview
The data qa engineer will ensure data quality across multiple systems by validating accuracy, building automation tools, and working with engineering teams to maintain data integrity.
Summarised by InternDoor from Acuity Analytics’s posting, in our own words. The posting itself is the source of truth, so check it before you apply.
Responsibilities
- Validate data accuracy across legacy and cloud systems
- Build automation frameworks with Python and SQL
- Partner with engineering teams on data pipelines
Requirements
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How to apply
- Check what they ask for. Read the requirements above.
- Tailor your resume to the role. Put the work that matches these skills first. InternDoor’s resume tailor does it against this posting.
- Apply on LinkedIn. The application is on linkedin.com, not on InternDoor. We never ask for a fee.
Apply soon: postings like this can close without notice, and this one states no deadline.
Application details
- Posted
- , on LinkedIn
- First seen by InternDoor
- , within 18 minutes of being posted
- Last checked
- : the posting was still in LinkedIn’s search results. We have not checked its application page.
- Application deadline
- Acuity Analytics has not stated one
- Leaves InternDoor
- By , our 30-day limit for LinkedIn listings, or sooner if the application closes
- Application page
- linkedin.com (Easy Apply)
What we checked, and what the dates mean
The date this listing leaves InternDoor is our own rule, not a deadline set by Acuity Analytics. Postings can close earlier, at any time.
This is the first Acuity Analytics posting InternDoor has recorded in India.
When this listing comes down, this address says the role has closed and lists open roles like it, instead of a dead end.
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