Tata Consultancy Services
Skill: Sr Business Analyst
Must Have Technical/Functional Skills: Oracle PLSQL, Excellent communication, Data Lake, Informatica, Teradata, and Epic Roles & Responsibilities:
Leads the development of the enterprise-wide Data Architecture.Supports teams with daily data content needs and proper data modeling. Designs and implements ETL processes for data marts, data lake and warehouses. Analyzes data usage and aligns it with project requirements. Contributes to data governance and enforces data standards. Captures and consolidates source data with proper lineage and change control, including cloud and on-premises sources. Publishes vetted data sources for BI tools like Tableau, Crystal, and Epic. Strong experience in Hadoop, Spark, Scala, Python. Good experience in end-to-end implementation of data warehouse, Data lake, data marts. Strong knowledge and hands-on experience in SQL, Unix shell scripting. Good understanding of data integration, data quality and data architecture. Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data. Good understanding of Agile software development frameworks. Experience in Banking domain. Strong communication and Analytical skills. Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams. Experience and desire to work in a global delivery environment. Responsible to develop efficient data ingestion and data governance framework as per specification. Performance improvement of existing spark-based data ingestion, aggregation pipelines to meet SLA. Work proactively, independently with global teams to address project requirements, articulate issues challenges with enough lead time to address project delivery risks. Plan production implementation activities , execute change requests and resolve issues in production implementation. Plan and execute large data migration, history data rebuild activities. Code reviews optimization, test case reviews . Demonstrate troubleshooting skill in resolving technical issues, bugs. Demonstrate ownership and initiative. Ability to bring-in best practices solutions which best fit for client problem and environment. Salary Range - $90,000-$110,000 a year
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Must Have Technical/Functional Skills: Oracle PLSQL, Excellent communication, Data Lake, Informatica, Teradata, and Epic Roles & Responsibilities:
Leads the development of the enterprise-wide Data Architecture.Supports teams with daily data content needs and proper data modeling. Designs and implements ETL processes for data marts, data lake and warehouses. Analyzes data usage and aligns it with project requirements. Contributes to data governance and enforces data standards. Captures and consolidates source data with proper lineage and change control, including cloud and on-premises sources. Publishes vetted data sources for BI tools like Tableau, Crystal, and Epic. Strong experience in Hadoop, Spark, Scala, Python. Good experience in end-to-end implementation of data warehouse, Data lake, data marts. Strong knowledge and hands-on experience in SQL, Unix shell scripting. Good understanding of data integration, data quality and data architecture. Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data. Good understanding of Agile software development frameworks. Experience in Banking domain. Strong communication and Analytical skills. Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams. Experience and desire to work in a global delivery environment. Responsible to develop efficient data ingestion and data governance framework as per specification. Performance improvement of existing spark-based data ingestion, aggregation pipelines to meet SLA. Work proactively, independently with global teams to address project requirements, articulate issues challenges with enough lead time to address project delivery risks. Plan production implementation activities , execute change requests and resolve issues in production implementation. Plan and execute large data migration, history data rebuild activities. Code reviews optimization, test case reviews . Demonstrate troubleshooting skill in resolving technical issues, bugs. Demonstrate ownership and initiative. Ability to bring-in best practices solutions which best fit for client problem and environment. Salary Range - $90,000-$110,000 a year
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