5+ years of BSA experience in data analytics/data warehouse/data integration through agile environment.
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 with Jira, Confluence, Bitbucket.
Demonstrable experience with conceptual, logical and physical data modeling techniques.
Strong analytical, organizational, and technical skills to analyze, model and interpret data.
Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines.
Experience with supporting legacy applications such as Mainframe, other on-prem applications and Migration of legacy solutions using COTS products.
Experience in current state analysis through reverse engineering, identify source & downstream systems.
Experience in conducting feasibility analysis, project scoping and providing project work estimates.
Experience with requirements development involving requirements elicitation, analysis, specification and validation.
Hand-on experience in capturing Data Lineage and Data Mapping between Source and Target systems.
Experience in 2 or more skills along with databricks - Azure Data Factory, python/pyspark, Tableau, Power BI, Mainframe, SAS.
Should have good knowledge on STTM (Source to target mapping) doc.