Job Summary
You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets. Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success
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.
Job Responsibilities
- Lead and drive complex, cross-functional data & analytics initiatives
- Design, build, and maintain scalable data pipelines & integrations
- Define and track KPIs and business metrics with stakeholders
- Perform data analysis (small & big data) to solve business problems
- Identify patterns, trends, anomalies and generate actionable insights
- Proactively identify and resolve data issues
