Data Engineer

About Us Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape. Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines. Chevron supports its operations in the Philippines and worldwide through two subsidiaries: Chevron Philippines Incorporated (CPI), which manages downstream operations and markets Caltex brand fuels, lubricants and petroleum products, and Chevron Holdings Incorporated (CHI), a global business services organization. Established in 1998, CHI provides business support services in finance and accounting, information technology, supply chain management, human resources, customer service and marketing. It serves Chevron affiliates around the world and has grown to be one of the leading global business services organizations in the Philippines. The company has received various recognition as one of the country’s top employers and as a champion of diversity and inclusion in the workplace. About The Role We have an exciting opportunity for a Data Engineer . This role will be based in 6750 Building, Makati City, Philippines . This position designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. Responsibilities Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric). Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage). Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize data pipelines in the Azure environment for performance, scalability, and reliability. Ensure data quality and integrity through data validation techniques and frameworks. Develop and maintain documentation for data processes, configurations, and best practices. Monitor and troubleshoot data pipeline issues to ensure timely resolution. Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge. Manage the CI/CD process for deploying and maintaining data solutions. About You We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals. Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes. Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2. Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL). Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing). Experience with big data technologies (e.g., Spark). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications Learning agility Technical Leadership Consulting and managing business needs Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc. is accepted. Experience building Spark applications utilizing PySpark. Experience with file formats such as Parquet, Delta, Avro. Experience efficiently querying API endpoints as a data source. Understanding of the Azure environment and related services such as subscriptions, resource groups, etc. Understanding of Git workflows in software development. Using Azure DevOps pipeline and repositories to deploy and maintain solutions. Understanding of Ansible and how to use it in Azure DevOps pipelines. Benefits Competitive salary Allowances, medical and optical reimbursements Health care coverage for you and your eligible dependents Robust employee centered programs for health and wellness Time-off to promote healthy work-life balance or to care for your family Annual corporate incentive bonus when the company meets established goals Recognition & awards program Long-term savings plan Life insurance Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups Hybrid work model - work remotely from home several days a week Chevron is committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace. Connect With Us FacebookInstagramLinkedInTwitterYouTube Chevron Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries: Oil and Gas Referrals increase your chances of interviewing at Chevron by 2x Get notified about new Data Engineer jobs in Manila, National Capital Region, Philippines. #J-18808-Ljbffr