Senior Data Engineer

Requirements:

• 4+ years of experience in data engineering, data platforms, and analytics on the Databricks platform.
• Experience with large-scale data migrations to/from Databricks.
• Consulting / customer-facing experience, working with external clients across a variety of industry markets.
• Comfortable writing code in either Python or Scala.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps.
• Design and deployment of performant end-to-end data architectures.
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Deployment and integration of Databricks-based solutions to complete customer projects.
• Must have Databricks Certifications.
• Strong communication and collaboration skills.
• Excellent problem-solving skills.
• Ability to travel up to 30% when needed.

Skills

Apache Spark, Databricks, Python, Scala, Spark