Python​/Cloud Full stack engineer W2

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Job Title:
Python/Cloud Full Stack Engineer

Duration: CONTRACT W2 ONLY

Position Summary:

This role focuses on designing, deploying, and managing scalable data processing solutions in a cloud-native environment.

You will work closely with data scientists, software engineers, and Dev Ops teams to ensure robust, high-performance data pipelines and analytics platforms.

Responsibilities:

• Design and implement large-scale data processing workflows using Apache Spark.
• Design and implement Docker images.
• Tune Spark jobs for performance, leveraging Open Shift's/Cloud resource management capabilities.
• Integrate Spark with other data sources (e.g., Kafka, S3, cloud storage) and sinks (e.g., databases, data lakes).

Experience:

• 3+ years working on Apache Spark for big data processing.
• 1+ years of Django and Airflow development experience.
• 1+ years of Cloud development experience (Google Cloud preferred).

Technical Skills:

• Proficiency in Spark frameworks (Python/PySpark).
• Familiarity with Docker and Kubernetes concepts (e.g., pods, deployments, services, images).
• Hands-on experience with distributed systems, cloud platforms (AWS, GCP, Azure), and data storage solutions (e.g., S3, HDFS).
• Strong coding skills in Python, Airflow, Django; shell scripting is a plus.
• Education:
  
  Bachelor's degree in Computer Science, Engineering, or related field.

• Mid-Senior level

• Contract

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