Knowledge of data governance frameworks and best practices.
Familiarity with programming/scripting languages (e.g., SparkSQL)
Strong understanding of data integration techniques and ETL processes.
Experience with data quality tools and methodologies.
Strong communication and problem-solving skills
Detailed JD: Data Integration: Manage the seamless integration various data lake, ensuring that jobs are running as expected, validate the data ingested , track the DQ checks , rerun/reprocess the jobs in case of failures post figuring out the RCAs
Data Quality Assurance: Monitor and validate data quality during and after the migration process, implementing checks and corrective actions as needed.
Documentation: Maintain comprehensive documentation related to data issues encountered during the weekly/monthly processing and operational procedures.
Continuous Improvement: Recommend and implement improvements to data processing, tools, and technologies to enhance efficiency and effectiveness.
Skills:- ETL and SQL
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