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Manager, Data Engineering

Panda Restaurant Group

Rosemead (CA)

Hybrid

USD 112,000 - 158,000

Full time

14 days ago

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Job summary

Join a forward-thinking company as a Manager of Data Engineering, where you will lead a dynamic team in developing and optimizing data flow processes. This role offers a chance to architect scalable solutions using cutting-edge technologies like Azure Synapse and Azure Data Factory. Collaborate with cross-functional teams to ensure data integrity and quality while managing operations and driving innovation. With a hybrid work schedule and competitive benefits, this position is perfect for those looking to make a significant impact in the data landscape of a leading restaurant group.

Benefits

401K with company match
Yearly bonus opportunity
Full medical, dental, and vision insurance
On-site fitness center
Discounts at Panda restaurants
Paid time off starting at 15 days
Continuous education assistance
Income protection including Disability insurance
Bereavement leave

Qualifications

  • Minimum three years leading a data engineering team.
  • Minimum five years of experience in BI technologies and ETL workflow development.

Responsibilities

  • Lead the data engineering team, hiring and mentoring members.
  • Architect and implement scalable data solutions using Azure technologies.

Skills

Data Engineering Leadership
ETL Workflow Development
Azure Synapse
Azure Data Factory
Data Quality Monitoring

Education

Bachelor's degree in Computer Science

Tools

Azure Synapse
Azure Data Factory

Job description

Join to apply for the Manager, Data Engineering role at Panda Restaurant Group

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Join to apply for the Manager, Data Engineering role at Panda Restaurant Group

Summary Of Job Description

The Manager, Data Engineering is responsible for leading the development and operations of the data engineering team to deliver end-to-end data flow processes across applications, systems, and various data sources and targets in the company’s data ecosystem. This position develops and maintains ETL processes to ensure the timely and accurate movement of data across various systems while optimizing for performance and reliability. The Manager, Data Engineering collaborates with cross-functional teams to integrate data from diverse sources, ensuring data consistency, quality, and reliability.

You’ll Get a Chance To

  • Lead the data engineering team, hiring, training, mentoring, and growing team members including PRG employees and partner service providers.
  • Architect and implement scalable data solutions using Azure Synapse, Azure Data Factory, and other relevant technologies to meet business requirements.
  • Develop and maintain ETL processes for timely and accurate data movement, optimizing performance and reliability.
  • Identify and implement performance improvements, troubleshoot issues, and monitor data solutions for optimal performance.
  • Collaborate with cross-functional teams to ensure data integration, consistency, quality, and reliability.
  • Implement and enforce data security and compliance standards in coordination with the security team.
  • Manage data services team operations, including budgeting, procurement, and data quality monitoring, in collaboration with data service leadership.
  • Research new technologies in data and analytics, championing adoption as needed.

How We Reward You

  • Hybrid work schedule
  • 401K with company match
  • Yearly bonus opportunity*
  • Full medical, dental, and vision insurance*
  • On-site fitness center, biometric screening, and flu shot clinic
  • Discounts at Panda restaurants, theme parks, and gym memberships
  • Paid time off starting at 15 days plus 7 federal holidays*
  • Continuous education assistance and scholarships*
  • Income protection including Disability, Life, and AD&D insurance*
  • Bereavement leave*
  • Benefits for eligible full-time associates

Your Background And Experience

  • Bachelor’s degree in computer science or information systems
  • Minimum three years leading a data engineering team
  • Minimum five years of experience in BI technologies and ETL workflow development, preferably in retail/hospitality
  • Proven experience with Azure Synapse, Azure Data Factory, and other data warehouse and ETL technologies
  • Successful completion of required trainings
  • Ability to obtain a Food Handler's Card within 30 days of employment

Pay Range: M2: $112,500 - $158,000 / Annual

Within the range, individual pay is determined by location and experience.

Panda Strong Since 1983

Founded in Glendale, California, we are now the largest family-owned American Chinese restaurant chain in America, with nearly 2,300 locations globally. We are committed to delivering exceptional Asian dining experiences and fostering a community where people can improve their lives, guided by family values.

You’re Wanted Here

We value diversity and workplace equality, which foster creative ideas, diverse perspectives, and overall happiness. Panda Restaurant Group, Inc. is an Equal Opportunity Employer and complies with all applicable laws. If accommodations are needed, contact our accommodation team via email at PandaLOA@PandaRG.com.

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Restaurants
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