Role Overview
Develop and maintain data pipelines, analytical datasets, and enterprise reporting models to support analytics, AI initiatives, manufacturing operations, and executive decision-making.
What You Will Do
Develop ETL/ELT pipelines, build and optimize Redshift data models, create Tableau-consumable datasets, integrate manufacturing and operational data sources, and support data quality and validation processes.
Why It Might Be a Fit
Collaborate with Analytics Engineers and business stakeholders to improve reporting accuracy and performance, and participate in GitLab-based development, testing, and code review activities.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Analytics, or related field
- 3-7 years of experience in Data Engineering
- Strong SQL and Python programming skills
- Experience with Redshift, Spark, Airflow, Kafka, MQTT, and cloud-based data architectures
- Experience supporting Tableau reporting environments and business intelligence solutions
- Understanding of dimensional modeling, data warehousing, and enterprise reporting architectures
To apply for this job please visit jobs.workable.com.
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