Databricks - Support and Maintainence Engg. - Assistant Manager

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.