Business Data Analyst
Role Overview
We are seeking Business Data Engineer to design, build, and optimize enterprise data solutions across our Data Warehouse, Data Lake, and Data Science ecosystems. This is a hands-on, customer-focused engineering role where you will own end-to-end data pipelines — from source system analysis and data design through development and deployment — using SnowSQL and Informatica Intelligent Cloud Services (IICS) .You will also contribute to our growing AI/ML initiatives, driving programs from concept to completion. As a Business Data Analyst you are expected to operate with a high degree of independence, solve complex problems, and collaborate effectively within and across teams. Job Requirements Strong technical knowledge across the Data warehouse, Data lake and Data science. Customer focused with good analytical, logical and problem-solving skills. Focused on innovation and technology acumen Strong skill using source system study , data analysis and data design. Strong development using SnowSQL and IICS. Should be ready take up the assignments in AI/ML space and drive the programs to the completion. Should have attained experience and knowledge in solving complex problems. Should have strong aptitude to learn new technologies. Should be a good team player who collaborates within and outside the team. Qualification 5–8 years of progressive experience in Data Engineering, Data Warehousing, Data Lake, or Data Science domains.Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field; or equivalent practical experience.
Full Job Posting
Job Requirements
- Strong technical knowledge across the Data warehouse, Data lake and Data science. Customer focused with good analytical, logical and problem-solving skills. Focused on innovation and technology acumen Strong skill using source system study , data analysis and data design. Strong development using SnowSQL and IICS. Should be ready take up the assignments in AI/ML space and drive the programs to the completion. Should have attained experience and knowledge in solving complex problems. Should have strong aptitude to learn new technologies. Should be a good team player who collaborates within and outside the team. Qualification 5–8 years of progressive experience in Data Engineering, Data Warehousing, Data Lake, or Data Science domains.Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field; or equivalent practical experience.
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