Procurement Data Engineer Associate

Monterrey Business Center I, Mexico

Johnson Controls

Applying data from both inside buildings and beyond, our customers can now manage operations systemically.

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What you will do?

Join us in the Procurement Execution Center (PEC) as a Data Engineer Associate as part of a is a diverse team of data and procurement individuals. In this role, you will be responsible for supporting the End-to-End (E2E) management of our data, including: ETL/ELT, DW/DL, data staging, data governance, and manage the different layers of data required to enable a successful BI, Reporting and Analytics for the PEC. This role will work with multiple types of data, spreading across multiple functional areas of expertise, including Fleet, MRO & Energy, Travel, Professional Services, among others.

How you will do it?

-Deploy data ingestion processes through Azure Data Factory to load data models as required into Azure Synapse.

-Build, design and support ETL/ELT processes with Azure Data Factory (ADF) and/or Python, which once deployed, will require to be executed daily and weekly.

-Assemble large data sets that meet functional / non-functional business requirements.

-Develop data models that enable DataViz, Reporting and Advanced Data Analytics, striving for optimal performance across all data models.

-Maintain conceptual, logical, and physical data models along with corresponding metadata.

-Utilizes the DevOps pipeline deployment model, including automated testing procedures.

-Executes data stewardship and data quality across our data marts, to cleanse, enrich and correct issues in our data, using knowledge bases and business rules.

-Performs the necessary data ingestion, cleansing, transformation, and coding of business rules to support annual Procurement bidding activities. 

-Other Data Engineering duties as assigned.

What are we looking for?

  • Bachelor’s degree in related field (Engineering, Computer Science, Data Science or similar)

  • 1+ years of relevant experience in data analytics roles, data engineering, software engineering or other relevant data roles.

  • 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.

  • Data manipulation with any programming language (Python + Pandas, SQL, etc.) and/or ETL/ELT development experience (1+ years, SSIS or ADF are preferred.)

  • Ability to resolve ETL/ELT problems by proposing and implementing tactical/Strategic solutions.

  • 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

  • Experience with git/repo management is a plus

  • Due to the global nature of the role, proficiency in English language is a must

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Azure Computer Science Data Analytics Data governance Data quality DevOps Distributed Systems ELT Engineering ETL Git NoSQL Pandas Python RDBMS Scala SQL SSIS Testing

Region: North America
Country: Mexico

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