Description

You will architect, develop, and test large-scale, high-efficiency data solutions.

Responsibilities

• Design scalable methods to consume and process data from diverse, unpredictable sources.
• Create self-service data products to promote predictability and ease of use across teams.
• Build reusable libraries and frameworks to enhance team productivity.
• Optimize and maintain data pipelines for performance, quality, and operational excellence.
• Collaborate with data analysts, product teams, and engineering stakeholders on data strategy.

Required Skills

• 6+ years of software or data engineering experience.
• Strong proficiency in SQL and data systems.
• Hands-on experience with Python, Java, or Scala.
• Experience with data orchestration and processing tools including Airflow, Spark, Trino, and Kafka.
• Ability to analyze complex datasets and implement efficient solutions.
• Familiarity with SDLC best practices, version control, and CI/CD pipelines.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Experience with AWS, Google Cloud Platform (GCP), or Azure.
• Familiarity with Terraform and Kubernetes.

Key Skills

Education

Bachelor’s or Master’s degree in Computer Science