Talent Groups
Overview
Our client is seeking a meticulous ETL QA Tester with 10+ years of experience, strong SQL skills and experience in ETL testing to ensure data integrity, accuracy, and completeness throughout our data transformation processes. This role demands flexibility in working hours to facilitate effective communication with developers and project teams across various time zones. Responsibilities
Design, develop, and execute ETL test cases to validate data extraction, transformation, and loading processes. Write and execute complex SQL queries to perform data validation and back-end testing. Identify, report, and track defects systematically. Participate in project meetings and be available for discussions in US EST working hours as needed. Clarify requirements when necessary and ensure comprehensive coverage of all requirements in the testing process. Required Skills & Qualifications
Must-have: Strong SQL skills with hands-on experience in writing and optimizing complex queries. Familiarity with data warehouses and data lakes is a must. Experience in ETL Testing: Understanding of data extraction, transformation, and loading (ETL) processes. Knowledge of Agile Methodologies and Defect Tracking Tools: Familiarity with Agile development processes and proficiency in using defect tracking tools like JIRA. Data Validation & Reconciliation: Ability to compare large datasets between sources and targets. Experience with SQL DBMS Tools: Knowledge of database management systems such as Oracle, Denodo, Azure Databricks, SQL Server. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills with the ability to work in a collaborative and fast-paced environment. Good to Have
Knowledge of Python is an advantage. Knowledge of Azure Databricks is a plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services is a plus.
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Our client is seeking a meticulous ETL QA Tester with 10+ years of experience, strong SQL skills and experience in ETL testing to ensure data integrity, accuracy, and completeness throughout our data transformation processes. This role demands flexibility in working hours to facilitate effective communication with developers and project teams across various time zones. Responsibilities
Design, develop, and execute ETL test cases to validate data extraction, transformation, and loading processes. Write and execute complex SQL queries to perform data validation and back-end testing. Identify, report, and track defects systematically. Participate in project meetings and be available for discussions in US EST working hours as needed. Clarify requirements when necessary and ensure comprehensive coverage of all requirements in the testing process. Required Skills & Qualifications
Must-have: Strong SQL skills with hands-on experience in writing and optimizing complex queries. Familiarity with data warehouses and data lakes is a must. Experience in ETL Testing: Understanding of data extraction, transformation, and loading (ETL) processes. Knowledge of Agile Methodologies and Defect Tracking Tools: Familiarity with Agile development processes and proficiency in using defect tracking tools like JIRA. Data Validation & Reconciliation: Ability to compare large datasets between sources and targets. Experience with SQL DBMS Tools: Knowledge of database management systems such as Oracle, Denodo, Azure Databricks, SQL Server. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills with the ability to work in a collaborative and fast-paced environment. Good to Have
Knowledge of Python is an advantage. Knowledge of Azure Databricks is a plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services is a plus.
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