Primary Skillsets:
Databricks: Experience with Databricks, including Databricks Runtime, Spark, and related technologies. Programming: Proficiency in one or more programming languages, such as:Python
Scala
Java
R
Data Engineering: Experience with data engineering concepts, including:Data pipelines
Data warehousing
ETL processes
Troubleshooting: Strong troubleshooting skills, with the ability to debug complex technical issues. Gen AI - Skills
Secondary Skillsets:
Cloud Platforms: Experience with one or more cloud platforms, such as:Azure
Data Science: Experience with data science concepts, including:Machine learning
Data visualization
Statistical analysis
Operating System: Experience with Linux/Unix operating systems. Apache Spark: Experience with Apache Spark, including Spark Core, Spark SQL, and Spark MLlib.
Nice-to-Have Skillsets:
Databricks Certifications: Databricks Certified Engineer or Databricks Certified Associate certifications. Data Lake: Experience with data lake architectures and technologies, such as Delta Lake. Containerization: Experience with containerization technologies, such as Docker. Agile Methodologies: Experience with Agile development methodologies, such as Scrum or Kanban.
Soft Skills:
Communication: Excellent communication and interpersonal skills. Problem-Solving: Strong problem-solving skills. Customer Focus: Customer-focused mindset. Teamwork: Ability to work effectively in a team environment.
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