Data Engineer at Sysco LABS: Powering the Foodservice Industry with Data

Sysco LABS Sri Lanka is seeking a highly motivated and skilled Data Engineer to join our dynamic team. As the Global In-House Center of Sysco Corporation, a Fortune 500 company and the world’s largest foodservice company, Sysco LABS plays a crucial role in delivering the technology that drives Sysco's end-to-end operations. This position offers a unique opportunity to contribute to a global leader and impact millions of food consumers worldwide.

As a Data Engineer, you will be responsible for the design, development, and maintenance of data solutions that support Sysco's vast operations. You will work with cutting-edge technologies and collaborate with cross-functional teams in an Agile environment. Your contributions will directly impact the efficiency and effectiveness of Sysco's data-driven decision-making processes.

A Day in the Life of a Data Engineer at Sysco LABS

Your day will be varied and challenging, encompassing a range of tasks related to data engineering. Here's a glimpse of what you can expect:

• Designing and Developing Data Solutions: You will work on the design and development of data solutions for one of the world's largest corporations involved in the marketing and distribution of food products.
• Building Semantic Models and Reports: You will design, develop, and maintain Fabric/Power BI semantic models and Reports to provide insights to business users.
• Maintaining Data Warehouses: You will be responsible for maintaining Financial Data warehouses, ensuring data accuracy and availability.
• Ensuring Data Quality: You will perform data validation, reconciliation, and issue resolution to maintain data integrity.
• Collaborating with Cross-Functional Teams: You will work collaboratively in a cross-functional team in an Agile delivery environment, contributing to the success of projects from conception to deployment.
• Adhering to DevOps Principles: You will embrace DevOps principles and be involved in projects throughout their full software lifecycle, from development and QA to deployment and post-production support.
• Contributing to Continuous Improvement: You will actively participate in improving data engineering processes and best practices, staying up-to-date with the latest technologies and trends.

Why Colombo, Sri Lanka?

Colombo, the vibrant capital of Sri Lanka, offers a compelling blend of rich culture, modern amenities, and a thriving tech scene. Sysco LABS Sri Lanka is located in the heart of Colombo, providing a stimulating and collaborative work environment.

• Cost of Living: Colombo offers a relatively low cost of living compared to many other major cities, allowing you to enjoy a comfortable lifestyle.
• Culture and Entertainment: Colombo boasts a rich cultural heritage, with numerous historical sites, temples, and museums to explore. The city also offers a vibrant nightlife and a wide range of dining options.
• Connectivity: Colombo is well-connected to the rest of the world, with an international airport offering direct flights to many major cities.
• Work-Life Balance: Sri Lanka is known for its relaxed pace of life, offering a good work-life balance for professionals.

Career Path and Growth Opportunities

Sysco LABS is committed to providing its employees with opportunities for professional growth and development. As a Data Engineer, you can expect to:

• Expand Your Skillset: You will have the opportunity to work with cutting-edge technologies and learn new skills, enhancing your expertise in data engineering.
• Advance Your Career: Sysco LABS offers a clear career path for Data Engineers, with opportunities to advance to senior roles and leadership positions.
• Contribute to Innovation: You will be encouraged to contribute to innovative projects and initiatives, shaping the future of data engineering at Sysco LABS.
• Receive Mentorship and Guidance: You will have access to experienced mentors and technical leaders who can provide guidance and support as you grow in your career.

Competitive Salary and Comprehensive Benefits

Sysco LABS offers a competitive salary and a comprehensive benefits package designed to support your well-being and professional growth. The benefits include:

• US dollar-linked compensation
• Performance-based annual bonus
• Performance rewards and recognition
• Agile Benefits - special allowances for Health, Wellness & Academic purposes
• Paid birthday leave
• Team engagement allowance
• Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws
• Opportunities for professional development and training
• A collaborative and supportive work environment
• Exposure to cutting-edge technologies and data engineering practices
• Opportunity to work on challenging and impactful projects
• Be a part of a global leader in the foodservice industry

Our Culture at Sysco LABS

At Sysco LABS, we foster a culture of collaboration, innovation, and continuous learning. We believe in empowering our employees to reach their full potential and contribute to the success of our organization. Our core values include:

• Integrity: We conduct ourselves with honesty and ethical behavior in all our interactions.
• Excellence: We strive for excellence in everything we do, continuously improving our processes and delivering high-quality results.
• Teamwork: We work collaboratively as a team, supporting each other and sharing knowledge to achieve common goals.
• Innovation: We embrace innovation and encourage our employees to think creatively and explore new ideas.
• Customer Focus: We are committed to providing exceptional service to our customers, understanding their needs and exceeding their expectations.

Ready to Join the Sysco LABS Team?

If you are a passionate and skilled Data Engineer looking for a challenging and rewarding opportunity, we encourage you to apply! To apply for this position, please submit your resume and cover letter through our online application portal.

Frequently Asked Questions

1. What are the key responsibilities of a Data Engineer at Sysco LABS?

   As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions, building semantic models and reports, maintaining data warehouses, ensuring data quality, and collaborating with cross-functional teams.

2. What qualifications are required for this position?

   A Bachelor’s Degree in Computer Science or equivalent, 2-3 years of experience in developing enterprise-grade data processing and Business Intelligence applications, and a strong programming background in Data Ops and Business Intelligence are required.

3. What skills are essential for success in this role?

   Strong programming skills in Python, SQL, and Shell Scripting, hands-on experience with Power BI and DAX, experience with relational/NoSQL databases and ETL tools, and familiarity with Agile and DevOps practices are essential.

4. What is the work environment like at Sysco LABS?

   Sysco LABS offers a collaborative, supportive, and innovative work environment where employees are encouraged to learn and grow.

5. What are the career growth opportunities for Data Engineers at Sysco LABS?

   Sysco LABS offers clear career paths for Data Engineers, with opportunities to advance to senior roles and leadership positions.

6. What is the salary range for this position?

   Salary is competitive and commensurate with experience. Sysco LABS also offers a comprehensive benefits package.

7. What is the interview process like?

   The interview process typically includes a technical interview, a behavioral interview, and a meeting with the hiring manager.

8. What is the company culture like at Sysco LABS?

   Sysco LABS fosters a culture of collaboration, innovation, and continuous learning, with a focus on integrity, excellence, teamwork, and customer focus.

9. Does Sysco LABS offer opportunities for remote work?

   This position is based in Colombo, Sri Lanka, and does not offer remote work options.

10. What type of projects will I be working on?

    You will be working on a variety of data-related projects including but not limited to improving data pipelines, creating new dashboards and reports, and optimizing data warehouses.