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SPARK Developer-Remote

Remote / Online - Candidates ideally in
Washington, District of Columbia, 20001, USA
Listing for: Staffing
Remote/Work from Home position
Listed on 2026-07-02
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below
Position: SPARK DEVELOPER-Remote

Spark Developer / Engineer

Workflows are powered by offline batch jobs written in Scalding, a Map Reduce-based framework. To enhance scalability and performance, migrating these jobs from Scalding to Apache Spark.

Key Responsibilities:
  • Understanding the Existing Scalding Codebase
    • Analyze the current Scalding-based data pipelines.
    • Document existing business logic and transformations.
  • Migrating the Logic to Spark
    • Convert existing Scalding jobs into Spark (PySpark/Scala) while ensuring optimized performance.
    • Refactor data transformations and aggregations in Spark.
    • Optimize Spark jobs for efficiency and scalability.
  • Ensuring Data Parity & Validation
    • Develop data parity tests to compare outputs between Scalding and Spark implementations.
    • Identify and resolve any discrepancies between the two versions.
    • Work with stakeholders to validate correctness.
  • Writing Unit Tests & Improving Code Quality
    • Implement robust unit and integration tests for Spark jobs.
    • Ensure code meets engineering best practices (modular, reusable, and well-documented).
Required Qualifications:
  • Experience in big data processing with Apache Spark (PySpark or Scala).
  • Strong experience with data migration from legacy systems to Spark.
  • Proficiency in Scalding and Map Reduce frameworks.
  • Experience with Hadoop, Hive, and distributed data processing.
  • Hands-on experience in writing unit tests for Spark pipelines.
  • Strong SQL and data validation experience.
  • Proficiency in Python, Scala
  • Knowledge of CI/CD pipelines for data jobs.
  • Familiarity with Apache Airflow orchestration tool.
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