Databricks Data Engineer: Pipelines & Data Quality

Bravissimo Resourcing Inc.; Taguig; On-site; PHP 781,200 - 1,004,400; Full time

Job summary

A leading data solutions provider is seeking a Data Engineer in Metro Manila to design and maintain data solutions. Key responsibilities include creating data pipelines, ensuring quality, and implementing ETL processes. Collaborating across teams is essential for success. The ideal candidate has 5 years of experience with Databricks and strong skills in Python, ETL tools, and cloud platforms. Join the team to enhance data accessibility and contribute to the data strategy.

Qualifications

• 5 years of experience 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 related to data engineering.
• Proficient in data warehousing concepts and 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.
• Document data processes and workflows.

Skills

Databricks

Python

SQL

Azure Data Factory

Pyspark

Tools

Databricks Unified Data Analytics Platform

ETL tools

Job description

A leading data solutions provider is seeking a Data Engineer in Metro Manila to design and maintain data solutions. Key responsibilities include creating data pipelines, ensuring quality, and implementing ETL processes. Collaborating across teams is essential for success. The ideal candidate has 5 years of experience with Databricks and strong skills in Python, ETL tools, and cloud platforms. Join the team to enhance data accessibility and contribute to the data strategy.