Databricks Data Engineer

Xurpas, Inc.; Philippines; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Xurpas, Inc. seeks a data engineering SME to lead and optimize data pipelines, collaborate with cross-functional teams, and guide data-driven decisions. You will manage team initiatives, ensure data quality, and document workflows to uphold best practices across multiple projects.

The role emphasizes hands-on expertise with Databricks, Python, ETL tools, and cloud-based data warehousing, supporting scalable data solutions for the organization.

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.

Responsibilities

• SME in data engineering; guide and support data initiatives.
• 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.

Skills

Data modeling

Tools

Databricks Unified Data Analytics Platform

ETL tools

Cloud platforms

Data warehousing concepts

Job description

Job Description:

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.

Requirements: