Senior Engineer - Data Engineering
About the role
The Senior Engineer - Data Engineering at Sysco LABS will be responsible for designing and developing data solutions for Sysco Corporation, a global leader in foodservice. The role involves implementing distributed and highly available data processing applications, adhering to CI/CD practices, ensuring high code quality, and collaborating within cross-functional Agile teams. Candidates should have a strong background in data operations programming, experience with large data volumes, relational/NoSQL databases, ETL tools, and DevOps practices. The position offers the opportunity to work on enterprise-grade technology powering Sysco's global operations.
Must have
- 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)
- 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
Nice to have
- 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
Technologies
- Agile
- Angular
- AWS
- Bash
- CI/CD
- Data Engineering
- Data Pipelines
- DevOps
- ETL
- GitHub
- GitLab
- Hive
- HTML
- Jenkins
- Kafka
- AWS Lambda
- Node.js
- NoSQL
- Python
- Redshift
- S3
- Scrum
- Spark
- SQL
Highlights
Benefits include a performance-based annual bonus, special allowances for health, wellness, and academics, paid birthday leave, team engagement allowance, comprehensive health and life insurance (extendable to parents and in-laws), and a hybrid work arrangement.
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