Share this Job

Work at the forefront of automotive innovation with ZF,
one of the world’s leading automotive suppliers.

Data Engineer

Location: 

Monterrey, NLE, MX, 64830

Req ID 38961
     

Short Description: Responsible for implementing data ingestion and transformation pipelines for internal and external big data sources using Microsoft Azure Technologies

Job Responsibilities:

  • Understand business needs around big data integration, data engineering, and data operations to build end-to-end data pipelines for analytics purposes.
  • Designing and implementing, highly performant data ingestion & transformation pipelines from multiple sources using Databricks and Spark/Scala/Python
  • Streaming and Batch processes in Databricks
  • Developing scalable and re-usable frameworks for ingestion and transformation of large data sets
  • Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring quality and consistency of data is always maintained
  • Orchestrate, Automate, and maintain, and testing of Data Pipelines. Continuously improve optimize our data and data pipeline architecture, as well as optimizing data collection and data flow. 
  • Work with IT domain teams and business partners, to assist with data-related technical issues and support the end-to-end production operations of data pipelines.

Qualification and Skills: 

  • A Bachelor's degree or higher within Computer Science
  • Experience of building data pipelines using Azure Data Factory and Databricks Spark using Scala and/or Python
  • Experience working with structured and unstructured data
  • Experience of working with relational databases: (SQL Server, Oracle)
  • Hands on experience designing and delivering solutions using Microsoft Azure environment.
  • SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Good understanding of data management best practices within traditional data warehouse and/or cloud data lake environment
  • High levels of energy and enthusiasm to work in a dynamic environment and work towards common objectives.

 

Be part of our ZF team as Data Engineer and apply now!

Contact

Rebeca Gonzalez

734/855-3228

Our Commitment to Diversity

ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.


Job Segment: Data Warehouse, SQL, Database, Computer Science, Oracle, Technology