Databricks Solutions Architect

Requirements:

- Hands-on and technical expertise with Apache Spark.
- Hands-on experience with Databricks over the course of several large-scale projects.
- Databricks Certified Data Engineer Professional certification
- Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP.
- Over 7 years of experience working as a Software Engineer or Data Engineer, including query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
- Proficiency in programming with Python, Scala, or Java.
- Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins).
- Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting.
- Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow.
 

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team