Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at DescriptionRole: Data and Analytics ArchitectLocation: Charlotte, NC (3 Days onsite/week)Job Description: Provide functional/technical leadership across a broad range of data analysis functions including data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in larger projects. Must Haves: 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. Must have good communication skills. Mandatory Skills: DataBricks - Data Engineering
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