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 230000 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 .
Role: Data and Analytics Architect
Location: 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.
Required Experience:
Staff IC
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