ETL Tester / DATA QA

As an ETL Tester / Data QA professional, you should have 5-7 years of experience in roles related to ETL, Data QA, or Data Validation. Your proficiency in SQL should include knowledge of joins, aggregations, and data reconciliation queries. Hands-on experience with Linux/Unix systems and console commands for log analysis and debugging is essential. You must have a good understanding of data quality frameworks, including handling nulls, duplicates, and data transformation logic. Familiarity with ETL tools such as Informatica, Talend, Databricks, BigQuery, or Airflow is preferred. Working knowledge of Agile/Scrum methodology is required for this role. Strong analytical thinking and problem-solving skills are necessary, along with excellent communication skills to be proactive in raising questions, seeking clarifications, and suggesting improvement ideas. Key Responsibilities: - Utilize proficiency in SQL for joins, aggregations, and data reconciliation queries. - Perform hands-on log analysis and debugging using Linux/Unix systems and console commands. - Implement data quality frameworks to handle nulls, duplicates, and data transformation logic. - Utilize ETL tools like Informatica, Talend, Databricks, BigQuery, or Airflow for data processing. - Work in an Agile/Scrum environment to deliver projects efficiently. - Demonstrate strong analytical thinking and problem-solving skills in day-to-day tasks. Qualifications Required: - 5-7 years of experience in ETL, Data QA, or Data Validation roles. - Proficiency in SQL, Linux/Unix systems, and ETL tools. - Familiarity with Agile/Scrum methodology. - Strong analytical thinking and problem-solving skills. - Excellent communication skills for proactive engagement within the team. Please note: The job description provided does not include any additional details about the company.,