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
Responsibilities:
Develop and maintain scalable data pipelines and ETL processes using Azure Databricks and other Azure services. These processes are designed to extract data from multiple sources, transform it into meaningful formats, and load it into data lakes or data warehouses.
A key aspect of this responsibility is ensuring that data is accurately cleaned, transformed, and loaded to enable consistent and reliable analytics and reporting.
Implement data storage solutions leveraging Azure Databricks and Azure Data Lake Storage
Your role involves designing data storage systems that scale, perform well, and meet the organization’s requirements.
Implement monitoring and alerting systems to proactively detect and resolve issues within data pipelines.
Continuously oversee data storage and processing activities, ensuring optimal performance and addressing any operational challenges.
Perform performance tuning and optimization of Azure Databricks and other data processing tools.
Enhance data pipeline efficiency, reliability, and cost-effectiveness by applying best practices and aligning with industry standards.
Azure Databricks Engineers actively engage with data scientists, business analysts, and other key stakeholders to align technical solutions with business goals.
Strong communication skills are essential for translating business requirements into effective technical implementations.
Requirements/Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related discipline.
Demonstrated experience as a Data Engineer or in a similar role, with a strong track record of designing and implementing data solutions using Azure Databricks.
Proficient in SQL, T-SQL, Python, or other relevant programming languages for data transformation and processing.
Solid understanding of data integration strategies, ETL techniques, and data warehousing principles.
Strong analytical and problem-solving abilities, with expertise in diagnosing complex data issues and optimizing pipeline performance and reliability.
Excellent communication skills, with the ability to collaborate effectively across teams and engage with various stakeholders.
Familiarity with tools such as Azure Databricks for big data processing, Power BI for data visualization, and Azure Stream Analytics for real-time data analysis.
Familiarity with data security best practices and data governance frameworks
Flexible to report onsite at any of Manila office locations: Alabang, BGC, Cubao and Mandaluyong City