Data Engineer

Data Engineer: 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. 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.Requirements:Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.At least 4 years of proven experience 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 agilityTechnical LeadershipConsulting and managing business needsStrong 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.Relocation Options:Relocation could be considered.International Considerations:Expatriate assignments will not be considered.Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this positiond/or the deployment of technical servicesDefault Terms and Conditions We respect the privacy of candidates for employment. This Privacy Notice sets forth how we will use the information we obtain when you apply for a position through this career site. If you do not consent to the terms of this Privacy Notice, please do not submit information to us. BASSC is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunities consistent with legal requirements. Please access the Global Application Statements , select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement. Terms of Use