Databricks Data Engineer

• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Develop and optimize data pipelines to ensure efficient data flow and processing.
• Monitor and troubleshoot data quality issues, implementing corrective actions as necessary.
• Document data processes and workflows to ensure clarity and compliance with best practices.

Responsibilities

• Expected to be an SME.
• Collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Develop and optimize data pipelines to ensure efficient data flow and processing.
• Monitor and troubleshoot data quality issues, implementing corrective actions as necessary.
• Document data processes and workflows to ensure clarity and compliance with best practices.

Qualifications

• Expert proficiency in Databricks Unified Data Analytics Platform.
• Experience with Python (Programming Language).
• Strong understanding of data modeling and database design principles.
• Experience with ETL tools and data integration techniques.
• Familiarity with cloud platforms and services related to data engineering.
• Proficient in data warehousing concepts and practices.