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Sysco

Senior Engineer - Data Engineering

Reposted 12 Hours Ago
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Remote
Hiring Remotely in Sri Lanka
Senior level
Remote
Hiring Remotely in Sri Lanka
Senior level
The Senior Engineer - Data Engineering designs and develops scalable data solutions, implements data processing applications, and maintains data pipelines within an Agile environment, ensuring high code quality and adherence to DevOps practices.
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JOB DESCRIPTION

Senior Engineer - Data Engineering 

 

About Sysco LABS:  

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. 

For more information visit: www.syscolabs.lk 

 

The Opportunity: 

 

We are currently on the lookout for a Senior Engineer - Data Engineering to join our team.  

 

 

Responsibilities: 

  • Designing and developing data solutions for one of the world’s largest corporations involved in the marketing and distribution of food products 

  • Implementing distributed and highly available data processing applications that scale for enterprise demands 

  • Design, develop and maintain data pipelines integrating multiple source systems and targets. 

  • Adhering to Continuous Integration and Continuous Delivery of solutions 

  • Ensuring high code quality by following software engineering best practices 

  • Working collaboratively in a cross-functional team in an Agile delivery environment 

  • Adhering to DevOps principles and 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, and 3-5 years of experience in developing enterprise grade data processing applications 

  • A strong programming background in data ops (Python, Shell, SQL) 

  • Experience in processing large volumes of data 

  • Hands-on experience in working with relational/NoSQL databases and distributed storage engines 

  • Hands-on experience in ETL design and development using ETL tools (Preferably Informatica and cloud tools such as AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive) 

  • Experience in working with streaming data (using tools such as Kafka, Storm, Spark) will be an added advantage 

  • Hands-on experience with Google Cloud Platform (GCP): Experience with services & serverless functions (e.g., BigQuery, Datastream, DataFlow, Pub/Sub, Cloud Functions, Cloud Run, Cloud composer, etc.) for data processing and orchestration. 

  • Working experience in a Scrum Agile delivery environment and with DevOps practices 

  • Experience in code management and CI/CD tools such as Github, Gitlab, Jenkins 

  • Experience in an agile environment and aligning POD members on technical vision and path to implementation 

  • A strong desire to continue to grow your skillset 

  • Strong communication skills that are influential and convincing 

  • Experience with application monitoring (Datadog, or equivalent) will be an added advantage 

  • Experience in managing data integration applications and data platforms with cloud-based architectures will be an additional advantage 

  • A passion for building and maintaining data solutions (data warehousing, data marts, data lakes, data mesh) will be an added advantage 

 

 

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. 

Top Skills

Aws Data Pipelines
BigQuery
Cloud Composer
Cloud Functions
Cloud Run
Datadog
Dataflow
Datastream
Emr
Git
Gitlab
Glue
Google Cloud Platform
Hive
Informatica
Jenkins
Kafka
Lambda
Pub/Sub
Python
Shell
Spark
SQL
Storm

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