Job Summary
This position entails the design and development of contemporary data pipelines along with foundational enterprise data solutions aimed at aggregating data from various sources for both routine and ad-hoc analyses. The role involves translating the requirements of businesses and clients into effective data structures, implementing monitoring systems and performance metrics, advocating for technical best practices, and providing support to business partners.
Responsibilities
- Design and develop data pipelines that efficiently consolidate data from multiple sources.
- Create enterprise data solutions for various analytical purposes.
- Transform business and client requirements into actionable data designs.
- Implement monitoring systems and establish relevant metrics.
- Promote and uphold technical best practices within the organization.
- Support and collaborate with business partners to meet their data needs.
Qualifications
- A minimum of 5 years of experience in data engineering.
- At least 4 years of practical experience using Azure Databricks.
- Experience working with AI-ready datasets for analytics, machine learning, and generative AI.
- Proficiency in agile methodologies and DevOps practices.
- Strong skills in Git, T-SQL, ANSI SQL, and Python programming.
