
Senior Data Engineering Leader
16 hours ago
As a senior data engineering leader, you will spearhead the design and implementation of scalable, high-performance data solutions.
Key Responsibilities- You will lead the development of complex data pipelines using Databricks, Azure Data Services, Python, PySpark, and distributed computing frameworks.
- The ideal candidate will have hands-on experience with data warehousing, ETL/ELT best practices, and a deep understanding of data modeling.
- You are expected to collaborate with cross-functional teams to translate business needs into robust data solutions.
- You will be responsible for designing and maintaining enterprise-grade data models, integrating data from relational and NoSQL sources, and architecting real-time data ingestion using Kafka, AWS SNS/SQS, and event-driven patterns.
This role requires 5-7 years of experience in data engineering, architecture, and governance. As a technical leader, you will drive best practices in data engineering, architecture, and governance, serving as a mentor and guide to your team members.
About the RoleIn this position, you will work closely with our teams to develop and implement data solutions that meet our business needs. You will leverage your expertise in data engineering, architecture, and governance to drive innovation and improve our data capabilities.
Requirements- Strong background in data engineering, architecture, and governance
- Hands-on experience with Databricks, Azure Data Services, Python, PySpark, and distributed computing frameworks
- Deep understanding of data modeling, data warehousing, and ETL/ELT best practices
- Excellent communication and collaboration skills
We offer a dynamic and collaborative work environment, opportunities for growth and professional development, and a competitive compensation package. If you are passionate about data engineering, architecture, and governance, and want to make a meaningful impact on our organization, we encourage you to apply.
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