Data Engineer

Ford Motor Company; Ciudad de México; Presencial; MXN 916,000 - 1,283,000; Jornada completa

Descripción de la vacante

A leading automotive company in Mexico City is looking for a Data Engineer to design and maintain data pipelines. Candidates should have a Bachelor’s degree in Computer Science and 2+ years of relevant experience. Proficiency in SQL, Python, and tools like Alteryx is required. This role emphasizes data integration and requires collaboration with cross-functional teams. Join us to innovate in data engineering and support our diverse workforce.

Formación

• 2+ years of experience as a data engineer with a focus on data integration and ELT processes.
• Strong proficiency in SQL and Python.
• Advanced English skills required.

Responsabilidades

• Design, build, and maintain scalable data pipelines.
• Collaborate with teams to gather requirements.
• Implement data quality processes.

Conocimientos

Data Integration

ETL Processes

APIs

SQL

Python

GCP Services

Problem-solving

Data Blending

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Alteryx

Apache NiFi

Descripción del empleo

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

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. We are committed to 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, or basis of disability.

Requisition ID : 48068