
Advanced Analytics Leader
7 days ago
We are seeking an accomplished Senior Data Engineer to lead the design and implementation of large-scale data processing systems that enable advanced analytics and business intelligence. In this role, you will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our client's Databricks solution.
Key Responsibilities:
- Design and develop scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
- Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
- Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
- Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.
- Evaluate and implement best practices in data governance and management to ensure data quality, integrity, and security.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems.
- 3+ years of experience with Databricks.
- Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases.
- Strong programming skills in languages such as Python, Java, or Scala.
Benefits:
- Opportunity to work with a talented team of data professionals.
- Chance to apply your expertise and contribute to the development of cutting-edge data systems.
- Professional growth and development opportunities.
About Us:
Our company is committed to diversity and inclusion in the workplace. We welcome applicants from diverse backgrounds and perspectives.
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