Spark or Pyspark & Scala & Snowflake/ Databrick Developer
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable backend systems including data ingestion, processing, validation, and reporting pipelines.
Own end-to-end solutions from design through operation, ensuring fault tolerance, observability, and maintainability.
Leverage AI-powered development tools to enhance software development productivity and quality, and promote responsible AI use.
Minimum Requirements
Strong experience in Scala or Python Spark/PySpark and distributed systems.
Experience with cloud data platforms such as Snowflake and Databricks.
Bachelor’s degree in Computer Science or related field with equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Proven skills in building high-throughput APIs and data pipelines in cloud environments (Azure, AWS, or GCP).
Demonstrated ability to implement CI/CD, monitoring, logging, and operational best practices in backend development.
Familiarity and practical experience with AI development tools (Cursor, GitHub Copilot) and concepts including LLMs, prompt engineering, and responsible AI deployment.
