Databricks Data Engineer

Xurpas, Inc.; Taguig; On-site; PHP 1,339,000 - 2,455,000; Full time

Job summary

Xurpas, Inc. in Metro Manila seeks a data engineering lead to develop and optimize data pipelines, ensure data quality, and collaborate across teams.

The role requires Databricks expertise, Python, data modeling, ETL and cloud platforms, and a strong foundation in data warehousing. You will mentor the team and drive data initiatives in a fast-paced tech environment.

Qualifications

• Expertise 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

• 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

Databricks

Python

Data modeling

ETL tools

Cloud platforms

Data warehousing

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

• 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.