Overview
On Site
USD0 - USD0
Full Time
Contract - W2
Skills
Python
Cloud
Full
Stack
Engineer
Job Details
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.
Beware of scams. S3 never asks for money during its onboarding process.
Job Title: Python/Cloud Full Stack Engineer
Location: Charlotte, NC 28202
Duration: 18+ months
On Site Work
Job ref# 241825
- 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:
- 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)
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.