JOB DESCRIPTION

Associate Technical Lead – Data Engineering (Data Modeling)

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. Everything we do at Sysco LABS supports Sysco’s Purpose of “Connecting the world to share food and care for one another”, and our work directly impacts millions of food consumers in a trillion-dollar, global industry.

** For more information visit: **www.syscolabs.lk

THE OPPORTUNITY

We are currently on the lookout for an Associate Technical Lead – Data Engineering (Data Modeling) to join our team.

RESPONSIBILITIES

Requirements Gathering & Data Modeling:

• Identify the data requirements after discussing with business users and product owner.

• Create or update data product catalogs documentation based on the requirement including requirements.

• Designing data solutions considering consumer performance and maintainability.

Data Engineering & Development:

• Coordinate and guide data engineers to make sure they follow the expected data engineering standards and design principles.

• Work collaboratively with agile cross-functional development teams and provide guidance for database design, query optimizations, and database optimizations while adhering to DevOps principles.

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

• Adhere to Continuous Integration and Continuous Delivery of solutions and ensure high code quality by following software engineering best practices.

• Be involved in projects throughout their full software lifecycle - from development, QA, and deployment to post-production support.

Scalability & Infrastructure:

• Design and develop capacity/scalability plans for fast-growing data infrastructure.

REQUIREMENTS

• Education: Bachelor’s degree in computer science or equivalent.

• Experience: 5+ years of experience in developing enterprise-grade data processing applications.

• Data Ops Programming: Strong programming background in data ops (Python, Shell, SQL).

• ETL Development: Hands-on experience in the design and development of ETLs to process large volumes of data using cloud and on-prem tools such as Informatica, Apache Airflow, AWS Data Pipelines, Glue, Lambda, EMR, Spark, Hive (both batch processing and near real-time/real-time).

• Database Experience: Hands-on experience working with relational/NoSQL databases and distributed storage engines (HDFS, S3, Redshift).

• Streaming Data: Experience in working with streaming data using tools such as Kinesis, Kafka, Storm, Spark.

• Agile Experience: Experience in an agile environment and aligning Pod members on technical visions and path to implementation.

• Communication Skills: Strong communication skills that are influential and convincing.

• Interpersonal Skills: Hands-on experience closely working with non-technical people and sound knowledge of the business domain.

Desired Skills (Nice to Have):

• API & UI Development: Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML).

• CI/CD: Experience in code management and CI/CD tools such as GitHub, Gitlab, and Jenkins.

• Continuous Learning: A strong desire to continue to grow your skillset.

Benefits:

• US dollar-linked compensation

• 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. **