Job Description

Education: B.E. Computer Science/IT degree (or any other engineering discipline)
Experience: 4+ years
Position Requirement:
- Proficient in SQL ( analytical functions, trending, windowing)- Traditional (for e.g. MSSQL, Oracle, PostgreSQL) or Columnar (like Vertica, Amazon, Redshift)
- Experience with data QA and ETL / ELT (data pipelines) QA
- 1–2 years of experience in automation for ETL, BI, data modeling, and data-level validation using Python or PySpark framework.
Preferred: hands-on experience implementing AI integration in automation solutions.
- Experience working closely with teams outside of IT (i.e. Business Intelligence, Marketing Adops, Sales)
- Strong understanding of the Web Analytics, metrics, KPIs, and reporting
- Experience with automating regression tests, reporting platforms (for e.g. Tableau or Pentaho BI) and ETL tools (for e.g. Pentaho or Talend) will be an added advantage
- Understanding of Ad stack, Email data and data (Ad servers, ...

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