
Senior Data Engineer
7 days ago
We are currently seeking an exceptional Data Engineering Professional to spearhead the design, development, and optimization of data processing pipelines on Databricks.
As a key member of our team, you will be responsible for architecting scalable and efficient data models, collaborating with cross-functional teams to migrate existing solutions, and ensuring the reliability and performance of our data infrastructure.
- Design and develop complex data processing pipelines and analytics solutions using Databricks.
- Architect scalable and efficient data models and storage solutions on the Databricks platform.
- Collaborate with architects and other teams to migrate existing solutions to use Databricks.
- Optimize the performance and reliability of Databricks clusters and jobs to meet Service Level Agreements (SLAs).
- Implement best practices for data governance, security, and compliance on the Databricks platform.
- Mentor junior engineers and provide technical guidance.
- Stay current with emerging technologies and trends in data engineering to drive continuous improvement.
Key Requirements:
- Proficiency in programming languages such as Python, Scala, or SQL.
- Strong understanding of distributed computing principles and experience with big data technologies like Apache Spark.
- Experience with cloud platforms like Azure, AWS, or GCP, and their associated data services.
- Proven track record of delivering scalable and reliable data solutions in a fast-paced environment.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
What We're Looking For:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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