Python/Cloud Full Stack Engineer

Job Description and Requirements -

Python/Cloud Full stack engineer.

Seeking a full stack Engineer to join our team, with expertise in Cloud, Python/Spark and OpenShift. 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 team to ensure robust, high-performance data pipelines and analytics platforms.

Responsibilities:

Data Pipeline Development: Design and implement large-scale data processing workflows using Apache Spark

Container Development: Design and implement docker images

Optimization: Tune Spark jobs for performance, leveraging OpenShift's/Cloud resource management capabilities

Integration: Integrate spark with other data sources (e.g., Kafka, s3, cloud storage) and sinks (e.g., databases, data lakes)

Qualifications:

Experience:

o 3+ years working on Apache Spark for big data processing.

o 1+ years of Django and Airflow development experience.

o 1+ years of Cloud development experience. (Google Cloud preferred)

Technical Skills:

Proficiency in Spark frameworks(Python/PySpark)

Familiarity with Docker and Kubernetes concerts(e.g., pods, deployments, services and images)

Hands on working experience on distributed systems, cloud platforms(AWS, Google Cloud Platform, Azure), and data storage solutions (e.g., S3, HDFS)

Programing: Strong coding skills in Python, Airflow, Django; experience with shell scripting is a plus.

Education: Bachelor's degree in Computer Science, Engineering or related filed.