Proficiency in ETL tools such as Informatica, Talend, DataStage, Microsoft SSIS.
Strong SQL skills for data validation and data quality checks.
Experience with data warehousing technologies, including relational databases (e.g., Oracle, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud- based data warehouses (e.g., Amazon Redshift).
Python knowledge for test automation and data quality Skills :
Experience with cloud platforms like AWS, Azure, or Google Cloud.
Familiarity with BI tools (e.g., Tableau, Power BI).
Agile methodology experience.
Data quality and data governance skills, including data profiling, data validation, and data certification.
Strong collaboration and communication skills, with experience working with cross-functional teams and stakeholders.