Engineer -Data Engineering

The Big Picture

Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the global leader in the trillion-dollar foodservice industry

Sysco employs over 75,000 associates, has 337 smart distribution facilities worldwide and over 14,000 IoT-enabled trucks serving 730,000 customer locations. For fiscal year 2025 that ended June 29, 2025, the company generated sales of more than $81.4 billion

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

For more information visit: www.syscolabs.lk

The Opportunity

We are currently on the lookout for a Engineer - Data Engineeringto join our team.

Responsibilities:

• Design and develop scalable data solutions to support business and analytics use cases for one of the world’s largest corporations involved in the marketing and distribution of food products.

• Implementingdistributed andhighly availabledata processing applications that scale for enterprise demandson Cloud Services such asAWS

• Design, develop andmaintaindata pipelines integrating multiple source systems and targets.

• Adheringto Continuous Integration and Continuous Delivery of solutions

• Ensuringhigh code quality by followingsoftwareengineering best practices

• Workingcollaboratively in a cross-functional team in an Agile delivery environment

• Adheringto DevOps principles and beinginvolved in projects throughout their full software lifecycle:from development, QA, and deploymentto post-production support

• Collaborate with business stakeholders to ensure tasks are completed on time and meet expectations.

• Support end-to-end delivery of projects, covering analysis, development, deployment, monitoring, and troubleshooting.

Requirements:

• ABachelor's Degree in Computer Scienceor equivalent, and 1-2 years of experience in developing enterprise grade data processing applications

• Strong programming background in data ops (Python, Shell, SQL)

• Strong SQL knowledge (query writing, optimization, and performance tuning).

• 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 tools such as Apache Airflow (or AWS Managed Workflows for Apache Airflow - MWAA), AWS Glue, AWS Lambda, Amazon EMR, Apache Spark, and Hive

• Experience in working with streaming data (Kafka, Storm, Spark) will be an added advantage

• Experience with API integrations and handling external data sources.

• Hands-on experience with Amazon Web Services (AWS): Strong working knowledge of core data services including Amazon Aurora (MySQL/PostgreSQL), Amazon Redshift, AWS Lambda, AWS Database Migration Service (DMS), Amazon EC2, Amazon S3 and AWS Glue for data processing, migration, and orchestration

• Experience building andoptimizingdata warehouses on Amazon Redshift, including distribution/sort key design, workload management (WLM), Redshift Spectrum, and performance tuning.

• Experience working with serverlesscomputer(AWS Lambda) and containerized workloads (ECS/EKS, Fargate) for event-driven data processing.

• Experience working in a Scrum Agile delivery environment and DevOps practices

• Experience in code management and CI/CD tools such asGithub, Gitlab and Jenkins

• Experience in an agile environment and aligning POD members on technical visions and path to implementation

• A strong desireto continue to grow your skillset

• Strong communicationskills that are influential and convincing

• Experience with application monitoring (Datadog, or equivalent) will be an added advantage

• A passion for building andmaintainingdata solutions (data warehousing, data marts, data lakes, data mesh) will be an added advantage

Benefits:

• 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 

• Overseas travel opportunities and exposure to client environments 

• Hybrid work arrangement 

Sysco LABS is an Equal Opportunity Employer