
Senior Data Engineering Specialist
3 days ago
We are seeking a seasoned professional to lead our data engineering initiatives.
About Us:
We are a boutique consulting firm specializing in data and AI. We have deep expertise in the Databricks ecosystem, helping clients build scalable data platforms and AI solutions that drive real business impact.
Data Architecture Overview:
- Design and implement scalable, secure, and efficient Databricks solutions for our clients.
- Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks.
- Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.
- Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
- Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.
- Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions.
Requirements:
- 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.
- Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
- Strong background in data engineering, including data warehousing, ETL, and data governance.
- Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.
- Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.
Benefits:
- Opportunity to work with a highly skilled team and cutting-edge technology.
- Chance to develop and implement innovative data solutions for our clients.
- Professional growth and development opportunities.
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