Data Validation Specialist

1 week ago

thiruvananthapuram, India beBeeDataValidation Full time

Job OverviewWe are seeking an experienced Data Validation Specialist to join our team in India.The successful candidate will be responsible for validating, analyzing, and ensuring the accuracy, performance, and reliability of data pipelines, business intelligence reports, dashboards, and analytics solutions.About the RoleThis is a challenging opportunity for a highly skilled individual with a strong background in data validation, SQL, ETL process testing, and working with modern data platforms.Key Responsibilities:Validate and analyze data pipelines, business intelligence reports, dashboards, and analytics solutions to ensure accuracy, performance, and reliability.Develop and maintain comprehensive test plans and scripts to ensure thorough testing of ETL processes.Work collaboratively with cross-functional teams to identify and resolve data quality issues.Provide expert-level guidance on data validation best practices and tools.RequirementsTo be successful in this role, you will need:A minimum of 5 years of experience in data validation, ETL process testing, or a related field.Strong knowledge of SQL, including joins, window functions, aggregations, and CTEs.Experience with ETL tools such as Airflow.Knowledge of business intelligence tools, including Power BI and SAP BO.Familiarity with Agile/Scrum methodology.BenefitsThis is a fully remote position based in India. The ideal candidate will have a strong understanding of data warehousing concepts, including star/snowflake schema, dimensions, and facts.Nice to Have SkillsExperience with SAP source systems (SAP ECC, S/4HANA, SAP BW, SAP IBP) for data validation.Exposure to big data technologies (BigQuery).Automation experience using Python or SQL-based frameworks.Knowledge of CI/CD pipelines for data testing.Experience with version control (Git).Note: This job description has been rewritten to make it more attractive and engaging for potential candidates. The original text has been shortened to meet the 7000 token limit while maintaining the essential information and structure.],

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