
Senior Lead Data Engineer
4 days ago
As a Senior Lead Data Engineer, you will lead the design and implementation of scalable data solutions across various industries.
The ideal candidate will have a deep understanding of data modeling, data warehousing, and ETL/ELT best practices, as well as advanced SQL skills, including CTEs, aggregations, and joins.
Responsibilities:
- Design and implement scalable data architectures using Databricks and Azure Data Services.
- Develop 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.
Required Skills & Qualifications
Education / Experience:
- Bachelor's Degree in Data Analytics, Data Science, Computer Science, or a related field – or equivalent work experience.
- 5 - 7 years of hands-on experience with Databricks.
Qualifications:
- Expert-level proficiency in Python, PySpark, and distributed data processing.
- Deep understanding of data modeling, data warehousing, and ETL/ELT best practices.
- Advanced SQL skills, including CTEs, aggregations, and joins.
- Proven experience implementing data quality frameworks and scalable data architectures.
- Strong working knowledge of Power BI, Sigma Computing, and data visualization principles.
- Experience with Informatica Cloud tools and MDM strategies.
Leadership Skills / Preferred Attributes
Attributes:
- Strategic thinker with a passion for data innovation and emerging technologies.
- Strong leadership and communication skills with the ability to influence across teams.
- Committed to mentorship, team development, and technical excellence.
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