You will architect, develop, and test large scale and efficient solutions that provide senior management with the accurate data to make business decisions.

Description:

• Design and implement scalable and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
• Create data products, enabling self-service and predictability by consumer
• Build libraries and frameworks that drive leverage and productivity for the team
• Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence

Requirements:

• BS or MS in Engineering/Computer Science
• 6+ years software engineering, including strong SQL and data focus
• Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg
• Ability to analyze complex datasets and design solutions with quality and efficiency
• Familiarity with SDLC best practices, version control, CI/CD
• Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage
• Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g. Kubernetes)