Senior Data Infrastructure Specialist
3 days ago
Job Summary
The Data Engineer at Ingredion Incorporated (Corporate) is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.
Key Responsibilities
- Data Pipeline Development: Design and implement processes for the ETL process from various sources into the organization's data systems.
- Data Integration and Delivery: Build data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.
- Release Management: Ensure timely releases of data pipelines and data products into production.
- Collaboration and Review: Collaborate with and review the work of contracting data engineers and dataops engineers to successfully accomplish the goals of the project.
- Agile and DevOps: Work with Agile and DevOps techniques and implementation approaches in the delivery.
- Initiative Participation: Actively participate in all ongoing initiatives related to the data and analytics ecosystem, including capital projects, operational projects, and proof of concept work.
- Internal Contributions: Contribute to Ingredion internal groups and forums.
Requirements
- Education: Bachelor's Degree related field.
- Experience: Experience in all aspects of data engineering especially building pipelines and populating data stores.
- Skills: Must have experience with databases like Oracle, SQL Server, etc. and Big Data/Cloud platforms like Microsoft Azure, Google Big Query/ Google cloud platform (GCP), Databricks.
- Programming: Hands-on experience with ETL and coding for unstructured, semi-structured, and structured data.
- API Development: Must have experience with REST API development.
- Preferred Skills: Experience with Kafka, Event Hubs, Python, and Spark is preferred.
- Soft Skills: Ability to work independently and as part of a team to successfully execute projects.
- Time Management: Ability to multitask and meet aggressive deadlines efficiently and effectively.
- Communication: Excellent communication and collaboration skills, experience working in collaborative environment.
- Teamwork: Proven success in contributing to a multi-location team-oriented environment.
- Certification: Certification in Data engineering or related fields is a plus.
Relocation
No
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