J&M Group
• 6-8 years of BSA experience in data analytics/data warehouse/data integration through agile environment.
• Strong communication, interpersonal, collaboration, and negotiation skills to work seamlessly in an agile cross-functional team, with clients, vendor(s) and other stakeholders.
• Creative, innovative, and can think outside the box to visualize solutions that meet business needs.
• Strong experience in data analysis, profiling, clean-up, data wrangling and validation. Hands-on experience building data quality checks and writing complex SQL queries.
• Experience working in large scale Enterprise Data Lake ingestion and extraction projects.
• Experience working with Jira, Confluence, Bitbucket.
• Experience with Data Lake, Azure Data Factory, DataBricks, python, Synapse/SQL Server, Analytics Zone, Azure Scheduler, Tableau, Power BI.
• Demonstrable experience with conceptual, logical and physical data modeling techniques.
• Solid knowledge of metadata management principles, metadata modeling and writing metadata definitions.
• Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines.
• Strong communication, interpersonal, collaboration, and negotiation skills to work seamlessly in an agile cross-functional team, with clients, vendor(s) and other stakeholders.
• Creative, innovative, and can think outside the box to visualize solutions that meet business needs.
• Strong experience in data analysis, profiling, clean-up, data wrangling and validation. Hands-on experience building data quality checks and writing complex SQL queries.
• Experience working in large scale Enterprise Data Lake ingestion and extraction projects.
• Experience working with Jira, Confluence, Bitbucket.
• Experience with Data Lake, Azure Data Factory, DataBricks, python, Synapse/SQL Server, Analytics Zone, Azure Scheduler, Tableau, Power BI.
• Demonstrable experience with conceptual, logical and physical data modeling techniques.
• Solid knowledge of metadata management principles, metadata modeling and writing metadata definitions.
• Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines.
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