Senior Data Engineer

Bentonville, AR - USA

Monthly Salary: Not Disclosed

Posted on: 24 days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Design build and maintain highly reliable scalable and performant data processing pipelines.
Develop and maintain streaming and batch data systems leveraging technologies like Kafka Spark and Hadoop.
Collaborate with architecture DevOps and analytics teams to integrate data solutions within cloud-based ecosystems (GCP Azure).
Apply strong software engineering practices ensuring code quality reusability and system resilience.
Implement data modeling migration and transformation solutions supporting data warehousing and BI initiatives.
Integrate with orchestration tools such as Airflow or Automic to automate and optimize data workflows.

Required Skills & Experience

Programming: Strong proficiency in Scala Python and Java (J2EE) for data processing and backend development.
Big Data Technologies: Deep understanding of Hadoop Spark and distributed data frameworks.
Streaming: Hands-on experience with Kafka or similar event streaming platforms.
Cloud Platforms: Experience with Google Cloud Platform (GCP) or Microsoft Azure for data engineering and deployment.
Data Engineering: Expertise in data modeling data migration protocols and data transformation processes.
Workflow Orchestration: Practical experience with Airflow Automic or equivalent scheduling tools.
Data Warehousing & BI: Familiarity with enterprise data warehouse concepts BI tools and performance optimization strategies.
Best Practices: Strong focus on code quality system reliability scalability and performance optimization.

Key Responsibilities Design build and maintain highly reliable scalable and performant data processing pipelines. Develop and maintain streaming and batch data systems leveraging technologies like Kafka Spark and Hadoop. Collaborate with architecture DevOps and analytics teams to integrate data sol...