Microsoft Azure Data Services

Accenture in the Philippines; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Accenture in the Philippines is seeking an Azure Databricks Engineer to design, build, and maintain data solutions within the Azure ecosystem. You will collaborate with data scientists and analysts to translate requirements into scalable data pipelines and reliable data stores.

You should be proficient in SQL, Python, and ETL techniques, with experience in Azure Databricks, Data Lake Storage, and monitoring.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• Experience as a Data Engineer or similar role with Azure Databricks.
• Proficient in SQL, T-SQL, Python for data transformation.
• Solid understanding of data integration, ETL, and data warehousing.
• Strong analytical and communication skills.

Responsibilities

• Develop and maintain scalable data pipelines and ETL using Azure Databricks and Azure services.
• Design data storage systems using Azure Databricks and Azure Data Lake Storage.
• Implement monitoring and alerting to detect and resolve data pipeline issues.
• Collaborate with data scientists, analysts, and stakeholders to align solutions with business goals.

Skills

SQL

Python

Problem-solving

Communication

Analytical thinking

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Azure Databricks

Power BI

Azure Data Lake Storage

Azure Stream Analytics

Job description

Job Description:

While not all qualifications are mandatory, a strong mix of the listed skills and experiences will help you succeed in this role.

An Azure Databricks Engineer is responsible for designing, developing, implementing, and maintaining data solutions within the Azure ecosystem. This role requires close collaboration with various teams to gather data requirements, build scalable data pipelines, and ensure the overall solution is reliable, available, and optimized for high performance.

Outlined below are the potential roles and responsibilities of an Azure Databricks Engineer:

Data Integration and ETL (Extract, Transform, Load):

• 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.

Data Management and Storage:

• 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.

Monitoring and Troubleshooting:

• 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.

Collaboration and Communication:

• 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.

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.

Preferred Additional Skills:

• 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

What’s in it for you?

• You will be part of Accenture’s growing community of technology professionals, continually expanding to provide the best services to our clients.
• At Accenture, you will be working on innovative projects, while being exposed to the latest emerging technologies and industry best-practices.
• We offer trainings and development programs and courses to help you grow your own tech stack and certifications.

All our leaders are committed to building a better, stronger, and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.

Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.

Accenture is committed to providing equal employment opportunities for persons with disabilities. Please let your recruiter know if you require reasonable accommodation to enable your participation in the recruitment process, they will be happy to assist you.