Data Engineer

Ford Motor Company; Naucalpan de Juárez; Presencial; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A leading automotive firm in Naucalpan de Juárez is seeking a Data Engineer to develop and maintain their UEBA platform. Responsibilities include designing robust data pipelines, collaborating with teams to gather requirements, and ensuring data quality. Candidates should have a Bachelor's degree in a relevant field, at least 2 years of experience in data engineering, and strong SQL and Python skills. The role offers a chance to contribute to innovative solutions in data protection.

Formación

• 2+ years in proven experience as a data engineer or similar role.
• Experience working with APIs to extract and integrate data from diverse sources.
• Strong analytical and problem-solving skills.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Develop ETL or ELT processes for data integration.
• Collaborate with cross-functional teams to gather requirements.

Conocimientos

Data integration

SQL

Python

Data engineering

APIs

Analytical skills

Educación

Bachelor’s degree in Computer Science or related field

Herramientas

Alteryx

GCP services

Apache NiFi

Descripción del empleo

The Cyber Security Data Protection Service is responsible for driving information security throughout Ford to enable a securely connected digital business and prevent the unauthorized disclosure of the company’s most sensitive data. We continuously evaluate, assess, and address the changing Cyber Security landscape to make Ford the world’s most trusted company.

Our Insider Threat Program is seeking a Data Engineer to play a pivotal role in the development and maintenance of our UEBA (User Entity & Behavioral Analysis) platform.

The goal of our program is to proactively detect and mitigate threats, protect information assets, identify security risks, and participate in multi-discipline working groups to assess and reduce insider risk. This team functions with high visibility working with cross-functional teams and senior stakeholders.

Qualifications

The minimum requirements we seek:

• Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, Information System Management, or a related field
• Advanced English Skills
• 2+ years in proven experience as a data engineer or similar role with a focus on data integration and ELT processes
• Experience working with APIs to extract and integrate data from diverse sources
• Proficiency in Alteryx or similar for data blending, cleansing, and transformation
• Strong proficiency in SQL and Python
• Experience in GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc..) to build and manage data platforms
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets and troubleshoot issues
• A passion for data, innovation, and continuous learnin

Our preferred requirements:

• Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform and Tekton, and other automation frameworks.
• Knowledge of data warehousing concepts and dimensional modeling
• Familiarity with data governance and security practices
• Proficiency in Apache NiFi, building and managing data pipelines
• Experience with data visualization tools.

Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant
for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.

Responsibilities

What you’ll be able to do:

• Design, build, and maintain scalable and robust data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Develop robust ETL (Extract, Transform, Load) or ELT processes to integrate data from diverse sources into data ecosystems like data warehouses or data lakes.
• Utilize APIs to extract data from various sources such as databases, web services, and third-party platforms
• Collaborate with cross functional teams to gather requirements, understand data needs, and support design solutions that align with business objectives
• Implement data quality and validation processes to ensure accuracy, consistency, and completeness of data
• Develop and maintain documentation for data engineering processes, including pipeline configurations, data mappings and transformation rules
• Troubleshoot and resolve issues related to data extraction, transformation, and loading
• Optimize data pipelines for performance, scalability, and reliability
• Stay up to date with emerging technologies and industry trends in data engineering, ELT, and data integration