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 Senior Engineer – Data Engineering (Cyber Analytics & Business Intelligence) to play a key role integrating data end-to-end for a complete lifecycle view. The right candidate’s main focus will include engineering Business Intelligence solutions for Cybersecurity programs, using the underlying data from tools and technologies in building 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 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 Cybersecurity 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 and 3+ years of experience in the data engineering field
Expert hands-on experience in MS Power BI creating, maintaining and supporting advanced Reports, Dashboards on desktop and online service, from concept to completion
Experience with installing and maintaining data gateways
The ability to 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
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 and maintaining Power BI Workspaces and Apps
Experience with data extraction using python via APIs, using REST, Pandas and NumPy to datastore
Hands-on experience with all aspects of RDBMS (preferably SQL Server)
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
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
