
Chief Data Engineer
2 days ago
We are seeking an accomplished data architect to lead our team in designing and implementing scalable, secure, and efficient Databricks solutions.
The ideal candidate will have a strong background in data engineering, including data warehousing, ETL, and data governance. They will be responsible for developing data pipelines, architecting data lakes, and implementing data warehousing solutions using Databricks.
Additionally, they will collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks. The successful candidate will also be responsible for optimizing Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
They will work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions. A proven track record of leading technical teams, mentoring junior engineers, and driving technical initiatives is essential.
Key qualifications include 5+ years of experience working with Databricks, proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
- Requirements:
- Strong understanding of Databricks architecture and platform capabilities
- Excellent communication and interpersonal skills
- Ability to work effectively with clients and internal stakeholders
As a data architect at our organization, you will play a key role in shaping the future of data management and analysis. If you have a passion for data engineering and a desire to make a real impact, we encourage you to apply for this exciting opportunity.
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