Data Engineer

5 days ago

Manila, National Capital Region, Philippines Chevron Full time

Chevron is accepting online applications for the position of Data Engineer located in Makati City, Philippines through January 31, 2025 at 11:59 p.m. PH Time.

Join our Team

Chevron invests on its people to build technical and professional competencies through various training opportunities, development programs, mentoring/coaching engagements, and certification courses. All are applied through experiential learning and actual practice while solving real business problems, but in a safe, supportive, and 'fail-fast' environment.

Technology will play a crucial role in unlocking ever cleaner and more affordable sources of energy. Chevron is seeking innovative, technology professionals with a desire to thrive in the global digital environment and help us lead the global energy transition. An IT career at Chevron offers you the opportunity to work in a technical environment with a global reach. We differentiate ourselves through the application of cutting-edge technology, and by taking a collaborative approach that includes in-house expertise, proprietary solutions, and strategic partnerships. We also offer flexible work schedules and very competitive benefits.

Job Description:

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. A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.

As a Data Engineer, you will:

  • 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.

Requirements:

  • 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.

Working with us

There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).

CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.

At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly 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.

Benefits

  • Competitive salary

  • Allowances, medical and optical reimbursements

  • Health care coverage for you and your eligible dependents

  • Robust employee centred 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

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