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.  

The Opportunity

We are on the lookout for a Senior Engineer - Data Engineering (Cyber Analytics & Business Intelligence) to join our team and contribute to Sysco’s Cyber Analytics & Business Intelligence program at Sysco where they’ll play a key role integrating data end-to-end for a complete lifecycle view. Main key responsibilities will include engineering Business Intelligence solutions for Cyber Security programs, using the underlying data from tools and technologies in building actionable dashboards that help focus cyber security teams identify existing and emerging threats and gaps, issues/opportunities empowering operational and business stakeholders to make timely and wise decisions, mitigate risks pro-actively, increase efficiencies and invest wisely. 

Responsibilities:

• Understanding the data end of cyber tools; Partnering with multiple teams for data integration points to discover key system attributes from each tool 
• Engineering Business Intelligence solutions for Cyber Security Programs and teams 
• Building, Maintaining and Supporting Administer dashboards 
• Building, Maintaining and Supporting efficient automations for data integrations, ETL data for Cyber Intelligence (preferably in Python) 
• Designing highly available and scalable cloud integrations for data engineering using cloud providers (Azure/AWS/GCP) 
• Monitoring the health of data pipelines using various tools & techniques to test reliability and validate data integrity 
• Configuring batch and real-time processing for data ingestion 
• Designing and testing APIs for robust performance and security 

Requirements:

• A Bachelor’s Degree in Computer Science or equivalent; 3+ Years of experience in the data engineering field 
• Very strong hands-on experience of MS Power BI creating, maintaining and supporting advanced Reports, Dashboards on desktop and online service, from concept to completion 
• SThe ability to strongly analyze user requirements and business requirements specifications come up with technical solutions 
• Strong data analytical skills to identify anomalies, suggest improvements and take advantage of technological efficiencies 
• Experience with installing and maintaining data gateways 
• Expertise in all kinds of visualizations, transformations in edit queries (visual and M queries) 
• Experience in developing reports from multiple data sources using data blending 
• Strong DAX and Power Query skills 
• Experience with creating, maintaining Power BI Workspaces and Apps 
• Hands-on experience with all aspects of RDBMS (preferably SQL Server) 
• Very strong hands-on skills in SQL server, data modeling and backend development with Indices, Stored Procedures, Views, Triggers, User defined functions, Cursors, Derived tables, Common table expressions (CTE) and complex queries 
• Strong knowledge of tuning T-SQL queries, SSIS, SQL Agents, ETL packages 
• Strong knowledge and skills in DML and DDL 
• Extensive knowledge in developing Applications or Automations using Python 
• Experience with data extraction using python via APIs , using REST, Pandas and NumPy to datastore 
• Knowledge of Google BigQuery would be an added advantage 
• Excellent written and verbal communication skills 
• The ability to work independently as well as collaboratively with minimum supervision 

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.