Python Developer
Charlotte, NC (onsite 3x a week)
1 year + contract
Must Have:
Python
Pyspark
ETL
Continuous Integration
JD for Python Full stack engineer.
Seeking a full stack Engineer to join our team, with expertise in Cloud, Python/ETL and Continuous Integration. 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:
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, GCP, 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.
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