Engineer - Data Engineering

JOB DESCRIPTION

Engineer - Data Engineering (MLOps)

The Big Picture

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 Data Engineer - MLOps 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 on Cloud Services such as GCP
• •Design, develop and maintain data pipelines integrating multiple source systems and targets.
• •Evaluates ML model feasibility for optimal solution and convert model prototypes into production-ready machine learning models
• •Manage production ready models for batch and real-time inference
• •Implement CI/CD and CT workflows for ML systems
• •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 1-2 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 working with relational/NoSQL databases and distributed storage engines
• •Hands-on experience in ETL/ELT design and development using ETL/ELT tools such as but not limited to Airflow, Google Cloud Services such as Cloud Composer, Cloud Dataflow, Cloud Dataproc and Amazon Web Services such as Glue, Lambda, EMR, Spark, Hive
• •Experience in working with streaming data (using tools such as Pub/Sub, Kafka, Storm, Spark) will be an added advantage
• •Hands-on experience with Google Cloud Platform (GCP): Experience with services & serverless functions (e.g., BigQuery, Datastream, DataFlow, Pub/Sub, Cloud Functions, Cloud Run, Cloud composer, etc.) for data processing and orchestration will be an added advantage
• •Strong understanding of Machine Learning and MLOps lifecycle with hands-on expertise in supervised and unsupervised learning, data preprocessing, and performance optimization
• •Experience building production-ready ML solutions using containerization and orchestration technologies in Cloud platforms (AWS, GCP), hands-on experience in Gemini Enterprise Agent Platform (GEAP) will be an added advantage
• •Experience working in a Scrum Agile delivery environment and DevOps practices
• •Experience in code management and CI/CD tools such as Github, Gitlab and Jenkins
• •A strong desire to continue to grow your skillset
• •Strong communication skills that are influential and convincing
• •Experience with application monitoring (Datadog, or equivalent) will be an added advantage
• •A passion for building and maintaining data solutions (data warehousing, data marts, data lakes, data mesh) will be an added advantage

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
• •Overseas travel opportunities and exposure to client environments
• •Hybrid work arrangement

Sysco LABS is an Equal Opportunity Employer.