Azure Databricks Data Engineer: Scale ETL Pipelines
Bravissimo Resourcing Inc.
Taguig
On-site
PHP 446,400 - 669,600
Full time
14 days+
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Job summary
A prominent recruitment agency in Metro Manila is looking for a skilled Data Engineer to develop and maintain scalable data pipelines and ETL processes using Azure Databricks. This role requires a Bachelor’s degree in Computer Science and experience with SQL, Python, and data transformation. Candidates should possess strong problem-solving abilities and excellent communication skills, engaging with teams to ensure data solutions meet business requirements. The position is on-site at various office locations in Manila, offering a dynamic work environment.
Qualifications
Bachelor’s degree in a relevant field.
Experience as a Data Engineer with Azure Databricks.
Proficient in SQL, T-SQL, and Python.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Responsibilities
Develop and maintain scalable data pipelines and ETL processes using Azure Databricks.
Implement data storage solutions leveraging Azure services.
Monitor and resolve issues within data pipelines.
Engage with data scientists and business analysts to align solutions with business goals.
Skills
Data pipeline development
Azure Databricks
SQL
T-SQL
Python
Data transformation
Data warehousing
Problem-solving
Communication
Education
Bachelor’s degree in Computer Science or related discipline
Tools
Power BI
Azure Stream Analytics
Job description
A prominent recruitment agency in Metro Manila is looking for a skilled Data Engineer to develop and maintain scalable data pipelines and ETL processes using Azure Databricks. This role requires a Bachelor’s degree in Computer Science and experience with SQL, Python, and data transformation. Candidates should possess strong problem-solving abilities and excellent communication skills, engaging with teams to ensure data solutions meet business requirements. The position is on-site at various office locations in Manila, offering a dynamic work environment.