THE BIG PICTURE
Sysco LABS is the captive innovation arm of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco is a Fortune 500 company and the global leader in selling, marketing, and distributing food products to restaurants, healthcare, and educational facilities, lodging establishments and other customers who prepare meals away from home. Its family of products also includes equipment and supplies for the foodservice and hospitality industries. With more than 76,000 colleagues, the company operates 334 distribution facilities worldwide and serves approximately 730,000 customer locations. For fiscal year 2024 that ended July 1, 2024, the company generated sales of more than $78.8 billion.
Operating with the agility and tenacity of a tech–startup, powered by the expertise of the industry leader, Sysco LABS is perfectly poised to transform one of the world’s largest industries.
Sysco LABS’s engineering teams based out of Colombo, Sri Lanka and Austin and Houston, TX, innovate across the entire food service journey – from the enterprise grade technology that enables Sysco’s business, to the technology that revolutionizes the way that Sysco connects with restaurants and the technology that shapes the way those restaurants connect with customers.
Sysco LABS technology is present in 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, the in-restaurant dining experience of the end-customer and much more.
THE OPPORTUNITY
We are currently on the lookout for a Operations Engineer – Data Platforms to join our team.
RESPONSIBILITIES
Monitor & Maintain: Overseeing data pipelines and cloud infrastructure, ensuring optimal performance, availability and reliability
Proactive Issue Detection: Implementing monitoring and logging solutions to detect and minimize ETL failures and service disruptions
Reactive Support & Troubleshooting: Providing production support, validating data integrity and resolving technical issues within SLA commitments
Collaboration & Incident Management: Working closely with data engineering and incident response teams for seamless issue resolution
Incident Analysis & Proactive Problem Management: Performing post-mortem analysis, documenting troubleshooting best practices and improving knowledge-sharing processes
Automation & Scripting: Developing and maintaining Python and Shell scripts to automate operational tasks and reduce manual workloads
Cloud Optimization & Scaling: Optimizing and scaling cloud-based data platforms (AWS, Azure, GCP) for improved efficiency and reliability
Working on a 24/7 support roster, ensuring continuous availability for business-critical operations
REQUIREMENTS
A Bachelor's Degree in Information Technology, Data Engineering, Computer Science or a related field
1–2 years of experience in platform support, preferably in a Data Centric environment
Strong proficiency in SQL, Shell scripting, and Python
Hands-on experience with ELT/ETL processes, Apache Airflow, Informatica and Spark is a plus
Experience with cloud-based data technologies, including AWS (EC2, S3, Lambda, RDS, Glue, Redshift, Athena, EMR, DynamoDB), Snowflake and Kubernetes
Knowledge of DevOps & DataOps best practices, including CI/CD pipelines (Jenkins, GitHub Actions), Infrastructure as Code (Terraform) and Monitoring & observability tools (Datadog)
Experience in network infrastructure and system administration on Windows Server and UNIX/Linux environments
A strong analytical and problem-solving mindset with a passion for optimizing and automating workflows
Excellent communication skills with the ability to thrive in a fast-paced, high-pressure environment
BENEFITS
US dollar-linked compensation
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
