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Metro location and recognizable employer produce moderate candidate density despite specialized Spark/Databricks skills.
Core Spark, Snowflake, and cloud skills transfer easily across industries.
Multiple mandatory technologies and senior role elevate strictness for filtering candidates.
Design, build, and operate scalable backend data ingestion, processing, validation, and reporting systems.
Implement and maintain data pipelines, APIs, and CI/CD with focus on fault-tolerant and maintainable solutions.
Drive adoption of AI-assisted software development practices and mentor engineers on best practices.
Strong experience in Scala or Python Spark/PySpark and distributed systems.
Experience with cloud data platforms such as Snowflake or Databricks.
Bachelor’s degree in Computer Science or related field or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced backend developer skilled in scalable, high-throughput API and data pipeline design and operation.
Familiarity with AI development tools (e.g., GitHub Copilot) and responsible AI practices to enhance productivity and code quality.
Capable of owning end-to-end solution delivery including design, testing, deployment, and operational excellence in cloud environments.