Data Engineer III

hace 1 día


San Pedro Garza García, Nuevo León, México Johnson Controls A tiempo completo
Job Title: Data Engineer III

Johnson Controls is a global leader in technology and multi-industrial solutions. We serve a wide range of customers in over 150 countries, with a team of 130,000 employees creating intelligent buildings, efficient energy solutions, and next-generation transportation systems.

Job Summary:

We are seeking a highly skilled Data Engineer III to join our Procurement Execution Center (PEC) team. As a key member of our data and procurement team, you will be responsible for supporting the end-to-end management of our data, including ETL/ELT, DW/DL, data staging, data governance, and managing the different layers of data required for successful BI & Reporting.

Key Responsibilities:
  1. Serve as the main technical resource for any data-related requirement.
  2. Demonstrate an ability to communicate technical knowledge through project management and contributions to product strategy.
  3. Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse.
  4. Build and design complex ETL/ELT processes with Azure Data Factory (ADF) and/or Python, which once deployed, will require to be executed daily and weekly.
  5. Assemble large, complex data sets that meet functional/non-functional business requirements.
  6. Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using Azure SQL and ADF.
  7. Develop data models that enable DataViz, Reporting, and Advanced Data Analytics, striving for optimal performance across all data models.
  8. Maintain conceptual, logical, and physical data models along with corresponding metadata.
  9. Manage the DevOps pipeline deployment model, including automated testing procedures.
  10. Deploy data stewardship and data governance across our data warehouse to cleanse and enhance our data, using knowledge bases and business rules.
  11. Ensure compliance to system architecture, methods, standards, and practices and participate in their creation.
  12. Clearly articulate and effectively influence both business and technical teams.
  13. Perform the necessary data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities.
  14. Support the deployment of a global data standard for Logistics.
  15. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  16. Support Rate Repository management as required (including Rate Card uploads to our DW).
Requirements:
  • Bachelor's degree in a related field (Engineering, Computer Science, Data Science or similar).
  • 4+ years of relevant experience in BI Engineering, data modeling, data engineering, software engineering or other relevant roles.
  • Advanced working SQL knowledge and experience working with relational databases.
  • Knowledge in DW/DL concepts, data marts, data modeling, ETL/ELT, data quality/stewardship, distributed systems and metadata management.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • Azure Data Engineering certification preferred (DP-203).
  • ETL/ELT development experience (3+ years). SSIS or ADF are preferred.
  • Ability to resolve ETL/ELT problems by proposing and implementing tactical/strategic solutions.
  • Strong project management and organizational skills.
  • Experience with object-oriented function scripting languages: Python, Scala, C#, etc.
  • Experience with NoSQL databases is a plus to support the transition from On-Prem to Cloud.
  • Excellent problem-solving, critical thinking, and communication skills.
  • Relevant experience with Azure DevOps (CI/CD, git/repo management).
  • Due to the global nature of the role, proficiency in English language is a must.


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