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McCormick
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Data Engineering Manager

Data Engineering Manager

McCormick

7 - 10 years

13 - 18 Lacs

gurugram

Posted:2 hours ago| Platform:

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Skills Required

automation change management team management architecture technical leadership agile scheduling solution delivery continuous improvement analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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