Data Engineering Leader
2 days ago
Experience a career transformation as a visionary leader in data engineering, driving the design and implementation of scalable solutions that support various business functions.
As a technical expert, you will mentor others, driving best practices in data engineering, architecture, and governance. This role requires an individual who is deeply curious about the evolving data landscape, passionate about innovation, and committed to enabling AI-powered business capabilities through high-quality, well-governed data.
Key Responsibilities:- Design and optimize complex data pipelines using Databricks and Azure Data Services.
- Lead the development of scalable data solutions using Python, PySpark, and distributed computing frameworks.
- Define and enforce data quality standards, ensuring timely, accurate, and complete data.
- Design and maintain enterprise-grade data models using star and snowflake schemas.
- Collaborate with cross-functional teams to translate business needs into robust data solutions.
- Champion documentation, metadata management, and data governance practices.
- Guide the development of Power BI and Sigma Computing dashboards and semantic models.
- Bachelor's degree in Computer Science, Data Analytics, or a related field.
- 5-7 years of hands-on experience with Databricks.
- Expert-level proficiency in Python, PySpark, and distributed data processing.
- Deep understanding of data modeling, data warehousing, and ETL/ELT best practices.
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