
Data Engineer
16 hours ago
We are seeking an experienced data engineer to lead our Databricks team in designing and implementing scalable data solutions on the cloud. As a proactive and innovative professional, you will be responsible for architecting efficient data models, collaborating with cross-functional teams, and ensuring the reliability and performance of our data infrastructure.
Responsibilities:- Design and develop robust data processing pipelines and analytics solutions using Databricks.
- Architect scalable and efficient data models and storage solutions on the cloud.
- 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 cloud platform.
- Mentor junior engineers and provide technical guidance.
- Stay current with emerging technologies and trends in data engineering to drive continuous improvement.
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.
Benefits:
- A competitive salary and benefits package.
- Ongoing training and development opportunities.
- The chance to work with a talented team of professionals.
About Us:
We are a dynamic and innovative company that values teamwork, innovation, and customer satisfaction. We are committed to providing a positive and inclusive work environment that supports the growth and development of our employees.
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