Source description
About the role
Performs advance business analysis using various techniques, e.g., data mining, predictive modeling.
Ensures the use of business intelligence applications enhances business decision making capabilities. The role is collaborative with other departments, lead various large scale
high-profile projects, huge impact in business making decisions, and provide guidance to BI resources.
Job Responsibilities (listed in order of importance and/or time spent)
Design, develop and implement scalable and high-performance data pipelines that performs ETL loads into enterprise repository
Collaborate with various business units to gather requirements, transforms the requirements into technical solutions
Write efficient store procedures/packages, provide operational support, diagnose, and resolves production issues, superior troubleshooting skills
Develop code to extract data from various cloud environments (Azure, Snowflake) and stage the data on Prem
Create dataset from staged environment for AI team, upload the dataset to AI cloud environment
Collaborate with AI team to understand the data requirements, perform data mapping, extract the required data from multiple source systems
Proficient in writing advance T SQL's, write store procs, developing SSRS reports, troubleshoot existing reports, suggest, and apply appropriate fixes
Independently review and schedule new jobs, resolves performance issues stemming from inefficient queries
Lead efforts in troubleshoot query performance issues, pro-actively collaborate with DBA team to resolve query/database locking
Review the existing integrations (ETL – Extract Transform Load) of legacy/new systems process, suggest and lead design modifications
Lead effort in peer code review before promoting to production, ensures production stability is maintained
Support, maintain and document BI functionality, regularly review and update document on share-point
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