Senior Engineer - Data Engineering

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 
• 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 (HDFS, S3, Redshift) 
• 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 Kenisis, Kafka, Storm, Spark) will be an added advantage 
• Experience in API development and user interfaces and related tools (NodeJS, AngularJS, HTML) will be an added advantage 
• 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 

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.