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Data Engineering Manager Job Opening In Gurugram – Now Hiring McCormick & Company


Job description

At McCormick, we bring our passion for flavor to work each day.

We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet.

Join us on our quest to make every meal and moment better.

 

Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour.

With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.

 

While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America

JOB DESCRIPTION

 

Responsible for leading, mentoring, and empowering a team of data engineers to develop, optimize, and maintain robust data pipelines and infrastructure in order to deliver and support high quality enterprise-wide analytics and visualization needs.

 

 

KEY ROLES & RESPONSIBILITIES

 

Technical Leadership & Solution Delivery

  • Oversee the design, development, and testing of scalable data solutions to ensure seamless integration and accessibility for Business Intelligence (BI) tools.
  • Provide high-level technical guidance, review and approve architectural decisions and technical designs to ensure best practices in data engineering (e.g., data modeling, ETL/ELT design, and data quality).

 

Data Infrastructure and Ecosystem

  • Stay up-to-date on industry trends and emerging technologies to guide strategic decisions and plan for scaling data infrastructure to meet future growth and demand.
  • Collaborate closely with business stakeholders and other technical leaders to conceptualize, architect, and implement enterprise-grade databases and data ecosystems.

 

Stakeholder Collaboration and Strategic Alignment

  • Act as a strategic partner to the business by aligning data engineering priorities with organizational goals and supporting cross-functional teams as needed.
  • Facilitate collaboration between data engineering and other teams (i.e. data science, analytics, and IT) to ensure smooth communication and alignment of data initiatives.

 

Team Management and Agile Delivery

  • Lead and manage the day-to-day operations of the data engineering team, including sprint planning, backlog grooming, and progress tracking.
  • Drive agile delivery practices and timely project deliveries while managing risks and dependencies.

  • Foster a culture of innovation, collaboration, and continuous improvement.

 

 

MINIMUM REQUIREMENTS

 

Education and Discipline:

  • Bachelor’s in Data Analytics or similar discipline.
  • Minimum 7 years in a Professional Related Field.

 

Minimum Experience Required: 

  • Understanding of enterprise data sources to drive visibility of top losses.
  • Familiarity with creating data sets in Azure or similar data lake environment.
  • Comfortable working with structured data.
  • Demonstrated ability to proactively solve problems.
  • Learn and execute analytics and automation technologies and improve systems.
  • Experience leading engineering projects from initial request to final data exposure.

 

Certifications and/or Licenses : MS Azure certification (preferred)

 

Other Skills & Competencies: 

  • Work closely with fellow analysts, Change Management team, and functional solution leads.
  • Confident leading teams to successful projects and meet business objectives and priorities
  • Maintain a sense of urgency to meeting scheduling plans and customer requirements.

  • General business acumen.
  • Ability to learn and implement new Analytics and automations tools.
  • Able to merge business questions/needs with available data to provide data-driven insights.

At McCormick, we have over a 100-year legacy based on our “Power of People” principle.

This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values

Required Skill Profession

Operations Specialties Managers


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineering in Gurugram, India, highlighting market share and opportunities for professionals in Data Engineering roles.

178122 Jobs in India
178122
2622 Jobs in Gurugram
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Are You Looking for Data Engineering Manager Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at McCormick & Company adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Data Engineering Manager Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineering Manager?

Key qualifications for Data Engineering Manager typically include Operations Specialties Managers and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineering Manager Job Success

McCormick & Company interview tips for Data Engineering Manager

Here are some tips to help you prepare for and ace your Data Engineering Manager job interview:

Before the Interview:

Research: Learn about the McCormick & Company's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineering Manager interview at McCormick & Company, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the McCormick & Company's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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