Databricks Data Engineer

Xurpas, Inc.; Taguig; On-site; PHP 1,339,200 - 2,008,800; Full time

Job summary

Xurpas, Inc. in Taguig, Metro Manila, is seeking a Senior Data Engineer to lead a team and own end-to-end data pipelines. You will drive architectural decisions and collaborate with multiple teams to ensure reliable data flows and scalable data processing.

The role requires expertise in Databricks, Python, data modeling, and cloud-based data solutions, and offers opportunities to implement best practices in data governance and analytics.

Qualifications

• Expert proficiency in Databricks Unified Data Analytics Platform.
• 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

• 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

Python

Data modeling

ETL tools

Cloud platforms

Data warehousing

Database design

Tools

Databricks Unified Data Analytics Platform

Job description

• 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

• 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.