Data Engineer II (110261)
Data Engineer II (110261)
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Job Description
You may know McCormick as a leader in herbs spices seasonings and condiments and were only getting started. At McCormick were always looking for new people to bring their unique flavor to our team.
McCormick employees all 14000 of us across the world are what makes this company a great place to work.
We are hiring immediately for a Data Engineer II.
What We Bring To The Table:
The best people deserve the best rewards. In addition to the benefits youd expect from a global leader (401k health insurance paid time off etc.) we also offer:
Competitive compensation
Career growth opportunities
Flexibility and Support for Diverse Life Stages and Choices
We prioritize our communities and the planet we share. We are proud to be awarded as a Diversity Inc. Top 50 company for Diversity and have multiple Sustainability awards (ranking #22 in the World and #1 in Food Products)
Wellbeing programs including Physical Mental and Financial wellness
Tuition assistance
Role Summary:
As a Data Engineer at McCormick you will play a pivotal role in delivering the design development implementation and maintenance of data and analytics solutions from simple to complex and supporting McCormick business units with their data and analytics needs. Your responsibilities will include delivering and supporting analytics systems tooling and solutions researching new features developing innovative automations supporting existing analytics solutions and collaborating with thirdparty vendors. You will support Data Scientists and Data Analysts to convert business expectations into data solutions and data models usable by business to deliver analysis reporting and datadriven recommendations to stakeholders and executives.
The role will report to the Azure Analytics Product Owner and requires close collaboration with the entire Enterprise Data Services team to conceptualize visualize and build an enterprise data management framework.
Key Responsibilities:
Plan and Design
- Collaborate with business stakeholders to gather analytics requirements. Design solutions and plan implementation including data security data quality and performance requirements.
Data Extraction Load and Transformation
- Implement ELT pipelines to efficiently ingest and transform data from a wide variety of data sources and deliver datasets that meet business requirements.
- Ensure efficient and reliable data mapping to support business needs
Performance and Cost optimization tuning
- Identify and design internal process improvements including automating manual processes optimizing data delivery and redesigning solutions for enhanced scalability. Work with Azure Analytics Product Owner to prioritize and schedule implementation.
- Implement solution redesigns to improve performance and costeffectiveness.
Process Improvement Issue Resolution
- Collaborate with Data Science Machine Learning and Business Analytics teams to optimize performance and cost effectiveness of their analytics solutions.
- Assist stakeholders with datarelated technical issues and support their data needs. Work with the Analytics Operational Support team to investigate troubleshoot and resolve data errors / discrepancies.
- Provide expertlevel support and guidance to data teams across the Enterprise.
- Suggest and introduce best practices for data engineering
Key Skills Required/ Qualifications:
- Bachelors degree in computer science or other relevant discipline
- 8 years of experience in data engineering
- Proven experience with Azure Analytics toolset (Data Factory Synapse Storage Accounts Key Vault)
- Proficiency with TSQL Python PySpark
- Performance tuning experience within the Azure analytics environment: parquet/delta files SQL databases data warehouses ingestion tuning cache optimization etc.
- Very good communication skills including ability to interact closely with business stakeholders.
- Experience with Agile methodologies (Azure DevOps).
- Familiar with SAP and/or SAP BW.
- Power BI knowledge at level that will allow smooth cooperation with Power BI Engineering team and business Power BI developers.
- Experience with CI/CD tools (Azure DevOps Git)
McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex gender identity sexual orientation race color religion national origin disability protected veteran status age or any other characteristic protected by law.
As a general policy McCormick does not offer employment visa sponsorships upon hire or in the future.
Employment Type
Full-Time
