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 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.
For more information visit: www.syscolabs.lk
The Opportunity
We are currently on the lookout for a Engineer - Data Engineering to 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.
Implementing distributed and highly available data processing applications that scale for enterprise demands on Cloud Services such as AWS
Design, develop and maintain data pipelines integrating multiple source systems and targets.
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
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:
A Bachelor's Degree in Computer Science or 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 and optimizing data warehouses on Amazon Redshift, including distribution/sort key design, workload management (WLM), Redshift Spectrum, and performance tuning.
Experience working with serverless computer (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 as Github, Gitlab and Jenkins
Experience in an agile environment and aligning POD members on technical visions and path to implementation
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:
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