Job Title

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, DSM, DMP etc) is good to have Role & Responsibilities: Performing statistical tests on large datasets to determine data quality and integrity Evaluating system performance and design, as well as its effect on data quality Collaborating with database developers to improve data collection and storage processes Running data queries to identify coding issues and data expectations, as well as cleaning data Creating and Maintaining automation framework for data comparison between different datasets/ data quality checks Understanding AI integration with the Automation framework Gathering data from primary or secondary data sources to identify and interpret trends Reporting data analysis findings to management to inform business decisions and prioritize information system needs Documenting processes and maintaining data records Adhering to best practices in data analysis and collection Keeping abreast of developments and trends in data quality analysis