Data Engineer

Data Engineer page is loaded## Data Engineerlocations: Buenos Aires, Buenos Aires, Argentinatime type: Full timeposted on: Posted Todayjob requisition id: R Total Number of Openings1Utilizes 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.**Job Title: Data Engineer****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. **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 2 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 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.**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 positionChevron participates in E-Verify in certain locations as required by law.#J-18808-Ljbffr