Designs and develops scalable enterprise data solutions and highly available processing applications on cloud platforms. Builds and maintains ETL/ELT pipelines integrating multiple systems, works with large data volumes and relational or NoSQL databases, and supports streaming, warehousing, lake, and mesh solutions. Applies software engineering, DevOps, CI/CD, Agile, monitoring, testing, deployment, and post-production support practices while collaborating with cross-functional teams.
JOB DESCRIPTION
Senior Engineer - Data Engineering
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 currently on the lookout for a Senior Data Engineer 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 on Cloud Services such as GCP
- 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+ 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 working with relational/NoSQL databases and distributed storage engines
- Hands-on experience in ETL/ELT design and development using ETL/ELT tools such as but not limited to Airflow; Google Cloud Services such as Cloud Composer, Cloud Dataflow, Cloud Dataproc and Amazon Web Services such as Data Pipelines, Glue, Lambda, EMR, Spark, Hive
- Experience in working with streaming data (using tools such as Pub/Sub, 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
- Experience working in a Scrum Agile delivery environment and DevOps practices
- Experience in code management and CI/CD tools such as Github, Gitlab and Jenkins
- Experience in an agile environment and aligning POD members on technical visions 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
- A passion for building and maintaining data solutions (data warehousing, data marts, data lakes, data mesh) will be an added advantage
Benefits
- 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
- Hybrid work arrangement
Sysco LABS is an Equal Opportunity Employer.
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