Sysco Corporation (nyse:syy)
Technical Lead – Data Engineering Mid - Senior Data Engineering Data Engineering
Sysco Corporation (nyse:syy), Granite Heights, Wisconsin, United States
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 Technical Lead – Data Engineering to join our team. RESPONSIBILITIES
The designing and development oflarge data processing solutions for one of the world's largest corporations involved in the marketing and distribution of food products Working collaboratively with agile cross functional development teams and providing guidance for database design, query optimizations and database optimizations while adhering to DevOps principles Designing and developing capacity/scalability plans for fast growing data infrastructure Adhering to Continuous Integration and Continuous Delivery ofsolutions, and ensuring high code qualityby following software engineering best practices Being involved in projects throughout their full software lifecycle - from development, QA, and deployment to post-production support REQUIREMENTS
A Bachelor’s Degree in Computer Science or equivalent, and5/6+years ofexperience developing productionenterpriseapplications, data integration solutions and in managing teams Excellent communication and leadership skills Hands-on experience working with large volumes of data and distributed processing frameworks (preferably Apache Spark and Kafka) Strong Python programming skills for data processing and analysis Proficiency in batch processing techniques and data pipeline development Hands-on experience in design and development of ETLs to process large volumes of data, including experience with Informatica Expertise in data quality management and implementation of data quality frameworks Familiarity with data lakehouse architectures and related technologies (OLAP/OLTP database design techniques) Strong skills in query optimization and performance tuning, particularly for large-scale data warehouses and distributed systems Experience with query plan analysis and execution plan optimization in various database systems, especially Amazon Redshift Knowledge of indexing strategies, partitioning schemes, and other performance-enhancing techniques; extensive experience with AWS services, particularly: Amazon S3 for data storage and management Amazon Redshift for data warehousing and query optimization AWS Lambda for serverless computing and data processing Amazon ECS (Elastic Container Service) for container orchestration Proficiency in designing and implementing cloud-native data architectures on AWS Experience with AWS data integration and ETL services (e.g., AWS Glue, AWS Data Pipeline) DevOps practices for data platforms: Extensive experience implementing DevOps practices for data platforms and workflows Proficiency in automating data pipeline deployments, including CI/CD for ETL processes and database schema changes Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) for provisioning and managing data infrastructure Familiarity with monitoring and observability tools for data platforms (e.g., CloudWatch, DataDog) Experience working in a Scrum Agile delivery environment and DevOps practices, as well as prior experience working with Cloud IaaS or PaaS providers such as AWS will be an added advantage BENEFITS
Performance rewards and recognition Agile Benefits - special allowances for Health, Wellness & Academic purposes Paid birthday leave Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws Overseas travel opportunities and exposure to client environments Sysco LABS is an Equal Opportunity Employer.
Apply Now Personal Information * Required Fields Your full name * Email * NIC * Qualifications Degree Graduating Year Work Experience Years of related experience Prior Employers (if applicable) Employer Role Employer Role Skills (Enter as many as applicable.) Skills How did you find out about this position Facebook/IG Twitter Linkedin Google Search TopJobs Sysco LABS Select A friend told me Press Advertisement University Outreach Other (Specify) Resume * Upload Please upload PDF files less than 5MB only I'd like to receive updates on related career opportunities in the future by signing up for Sysco LABS Select I agree to the Terms & Conditions * of Sysco LABS as specified in the privacy policy and have understood it Sign up for Sysco LABS Vacancy Alerts to be notified when similar opportunities arise At Sysco LABS, we always go the extra mile but know when to have some fun too - we never pass up an opportunity to celebrate or let our hair down and understand the importance of play in helping us do our best work.
#J-18808-Ljbffr
We are currently on the lookout for a Technical Lead – Data Engineering to join our team. RESPONSIBILITIES
The designing and development oflarge data processing solutions for one of the world's largest corporations involved in the marketing and distribution of food products Working collaboratively with agile cross functional development teams and providing guidance for database design, query optimizations and database optimizations while adhering to DevOps principles Designing and developing capacity/scalability plans for fast growing data infrastructure Adhering to Continuous Integration and Continuous Delivery ofsolutions, and ensuring high code qualityby following software engineering best practices Being involved in projects throughout their full software lifecycle - from development, QA, and deployment to post-production support REQUIREMENTS
A Bachelor’s Degree in Computer Science or equivalent, and5/6+years ofexperience developing productionenterpriseapplications, data integration solutions and in managing teams Excellent communication and leadership skills Hands-on experience working with large volumes of data and distributed processing frameworks (preferably Apache Spark and Kafka) Strong Python programming skills for data processing and analysis Proficiency in batch processing techniques and data pipeline development Hands-on experience in design and development of ETLs to process large volumes of data, including experience with Informatica Expertise in data quality management and implementation of data quality frameworks Familiarity with data lakehouse architectures and related technologies (OLAP/OLTP database design techniques) Strong skills in query optimization and performance tuning, particularly for large-scale data warehouses and distributed systems Experience with query plan analysis and execution plan optimization in various database systems, especially Amazon Redshift Knowledge of indexing strategies, partitioning schemes, and other performance-enhancing techniques; extensive experience with AWS services, particularly: Amazon S3 for data storage and management Amazon Redshift for data warehousing and query optimization AWS Lambda for serverless computing and data processing Amazon ECS (Elastic Container Service) for container orchestration Proficiency in designing and implementing cloud-native data architectures on AWS Experience with AWS data integration and ETL services (e.g., AWS Glue, AWS Data Pipeline) DevOps practices for data platforms: Extensive experience implementing DevOps practices for data platforms and workflows Proficiency in automating data pipeline deployments, including CI/CD for ETL processes and database schema changes Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) for provisioning and managing data infrastructure Familiarity with monitoring and observability tools for data platforms (e.g., CloudWatch, DataDog) Experience working in a Scrum Agile delivery environment and DevOps practices, as well as prior experience working with Cloud IaaS or PaaS providers such as AWS will be an added advantage BENEFITS
Performance rewards and recognition Agile Benefits - special allowances for Health, Wellness & Academic purposes Paid birthday leave Comprehensive Health & Life Insurance Cover - extendable to parents and in-laws Overseas travel opportunities and exposure to client environments Sysco LABS is an Equal Opportunity Employer.
Apply Now Personal Information * Required Fields Your full name * Email * NIC * Qualifications Degree Graduating Year Work Experience Years of related experience Prior Employers (if applicable) Employer Role Employer Role Skills (Enter as many as applicable.) Skills How did you find out about this position Facebook/IG Twitter Linkedin Google Search TopJobs Sysco LABS Select A friend told me Press Advertisement University Outreach Other (Specify) Resume * Upload Please upload PDF files less than 5MB only I'd like to receive updates on related career opportunities in the future by signing up for Sysco LABS Select I agree to the Terms & Conditions * of Sysco LABS as specified in the privacy policy and have understood it Sign up for Sysco LABS Vacancy Alerts to be notified when similar opportunities arise At Sysco LABS, we always go the extra mile but know when to have some fun too - we never pass up an opportunity to celebrate or let our hair down and understand the importance of play in helping us do our best work.
#J-18808-Ljbffr