Description

• 5-8 years’ experience in business and data analysis, process improvement, and project management.
• Experience in writing complex SQL queries, analytical and aggregate functions on views
• Hands-on experience in handling data assets, identifying critical data elements, data mapping, data models & data aggregation.
• Experience in Data Engineering concepts: Mandated proficiency in one of the data concepts is required. ETL ingestion, Data Visualization, storage, querying, processing analysis & Data Quality governance.
• Technical expertise in all phases of SDLC, Infrastructure analyzing framework, various Relational Databases, NoSQL Databases, PySpark Scripting technologies is expected.
• Ability to effectively use complex analytical, interpretive techniques to map data & create data visualizations 
• Hands-on Experience in writing complex SQL queries, analytical and aggregate functions on views
• Preferable experience with tools such as Tableau, PySpark, Airflow, Git, JIRA and Confluence.
• Experience in Data Modelling, ETL technologies, Data pipeline.
• AI and machine learning experience preferred.
• Experience in Manual, UAT, Functional and Regression testing is preferred.
• Demonstrated interpersonal, verbal, and written communication skills

Key Skills

Education

Any Gradute