Senior Engineer - Data Engineering

JOB DESCRIPTION

Senior Engineer - Data Engineering

About Sysco LABS:

Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 55th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry.

Sysco operates 333 distribution centers across 10 countries, with 75,000 colleagues serving approximately 670,000 customer locations, including restaurants, healthcare and educational facilities, lodging establishments, entertainment venues and more. For fiscal year 2026, which ended June 27, 2026, the company generated sales of more than $84 billion.

Sysco LABS Sri Lanka delivers the technology that powers Sysco’s end-to-end operations.

Sysco LABS’ enterprise technology is present in the end-to-end foodservice journey, enabling the sourcing of food products, merchandising, storage and warehouse operations, order placement and pricing algorithms, the delivery of food and supplies to Sysco’s global network and the in-restaurant dining experience of the end-customer.

The Opportunity:

We are currently on the lookout for a Senior Engineer - Data Engineering to join our team.

Responsibilities:

• •Designing and developing data solutions for one of the world’s largest corporations involved in the marketing and distribution of food products
• •Implementing distributed and highly available data processing applications that scale for enterprise demands
• •Adhering to Continuous Integration and Continuous Delivery of solutions
• •Ensuring high code quality by following software engineering best practices
• •Working collaboratively in a cross-functional team in an Agile delivery environment
• •Adhering to DevOps principles and being involved in projects throughout their full software lifecycle: from development, QA, and deployment, to post-production support

Requirements:

• •A Bachelor’s Degree in Computer Science or equivalent, and 3-5 years of experience in developing enterprise grade data processing applications
• •A strong programming background in data ops (Python, Shell, SQL)
• •Experience in processing large volumes of data
• •Hands-on experience in working with relational/NoSQL databases and distributed storage engines (HDFS, S3, Redshift)
• •Hands-on experience in ETL design and development using ETL tools (Preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive)
• •Experience in working with streaming data (using tools such as Kenisis, Kafka, Storm, Spark) will be an added advantage
• •Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage
• •Working experience in a Scrum Agile delivery environment and with DevOps practices
• •Experience in code management and CI/CD tools such as Github, Gitlab, Jenkins
• •Experience in an agile environment and aligning Pod members on technical vision and path to implementation
• •A strong desire to continue to grow your skillset
• •Strong communication skills that are influential and convincing

Benefits:

• •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
• •Hybrid work arrangement

Sysco LABS is an Equal Opportunity Employer.