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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 DevOps 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 OpenShift'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.Seniority level
Mid-Senior levelEmployment type
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