Senior Engineer - Data Engineering

JOB DESCRIPTION

Senior Engineer – Data Engineering (Cyber Analytics & Business Intelligence) 

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.   

TheOpportunity: 

This position is with the Cyber Analytics & Business Intelligence program at Sysco whereyou’ll play a key role integrating data end-to-end for a complete lifecycle view.The right candidate will be responsible forengineering Business Intelligence solutions for Cybersecurity programs, using underlying data from tools and technologiesto build actionable dashboards that help focus cybersecurity teams identify existing and emerging threats and gaps, issues/opportunities empowering operational and business stakeholders to make timely and wise decisions, mitigate risks proactively, increase efficiencies and invest wisely. 

Responsibilities: 

• Data Pipeline Development: Designing, building, andmaintaining scalable and efficient ETL/ELT pipelines to ingest, transform, and load large volumes of cyber security data from various sources (e.g., SIEMs, EDRs, network logs, cloud logs, vulnerability scanners & manymore) with theDevSecOps Mindset. Using Cloud Composer/Cloud Run on GCP Platform 

• Data Modeling: Developing andoptimizingdata modelsGoogleBigQuery, ensuring data integrity, performance, and accessibility for analytics and reporting 

• Cloud-Native ETL Solutions: Leveraging GCP services, including serverless functions (e.g., Cloud Composer, Cloud Run), for data processing, orchestration, and automation; along with Monitoring 

• GoogleBig Query Proficiency: Developing and managingdata solutions inGCP,utilizing its capabilities for large-scale data storage and analytical queries 

• Power BIReporting &Integration: Ensuring data models areoptimized for consumption by Power BI, collaborating with analysts to build compelling dashboards and reports that visualize key security metrics and trends 

• Data Quality & Governance: Implementing robust data quality checks, monitoring, and alerting mechanisms to ensure the accuracy, completeness, and reliability of security data;contributing to data governance policies and best practices 

• Automation: Automating data ingestion, transformation, and reporting processes to improve efficiency and reduce manual effort 

• Documentation: Creating andmaintaining comprehensive documentation for data pipelines, data models, and data processes 

• Troubleshooting:Identifying and resolving data-related issues, ensuring data availability and accuracy 

• Innovation: Stayingup-to-date with the latest trends and technologies in data engineering, cloud platforms (GCP), and cybersecurity to drive continuous improvement and innovation 

Requirements: 

• 3 -5+ years of experience as a Data Engineer, with a strong focus on building andmaintaining data pipelines and data warehousing solutions. 

• Hands-on Experience withBigQuery: Data modeling, query optimization, and experience with Data Migration/Replat forming 

• Hands-on experience with Google Cloud Platform (GCP):Experience with serverless functions (e.g., Cloud Functions, Cloud Run, Cloud Flow, Cloud composer) for data processing and orchestration 

• Familiarity with other relevant GCP services (e.g., Cloud Storage,BigQuery, Pub/Sub, Dataflow/Dataproc concepts) 

• Experience building data solutions for Power BI: Working experience in Power BI's data connectivity, data models, and best practices for report development 

• ProficiencyPython for data manipulation and automation 

• A strong understanding of ETL/ELT principles, data warehousing concepts, and dimensional modeling. 

• Adherence to engineering standards, best practices - be process oriented 

• Strong communication skills – reading &comprehending documents/specifications, producing clear and thorough documentation, ability to discuss and explain technical issues during meetings 

• Experience in the cybersecurity domain or working with security-related data (e.g., SIEM logs, network flows, vulnerability data) 

• Exposure/Experiencein fundamental DevOps tools such as Terraform, Jenkins, GitHub,Nagios and Chefetc. 

• Exposure/Experiencewith Legacy RDBMs such as SQL Server 

• Exposure/Experienceto AI concepts, exposure to AI practices and platformsrelevant to data engineering. A good understanding of data governance frameworks and security best practices for data 

• Exposure to or an interestin data science 

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.