Python/Cloud Full Stack Engineer

Please find details for this position below: Client: Banking/Financial Industry Title: Python/Cloud Full Stack Engineer Location: Charlotte, NC – Hybrid Roles Duration: 12-24+ Month (s) Extend or Convert based on performances Job Descriptions: 10 Openings - $80 per hour for W2 & 130-140 Salary for H1B Required Qualifications: 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: • 7+ years of software engineering experience o 3+ years working on Apache Spark for and Apache Airflow big data processing.

o 3+ years of Microservices (such as Django) development experience.

o 3+ 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, 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.

• AI/ML: experience with customizing GPU hardware for AI solution is a plus • Education: Bachelor's degree in Computer Science, Engineering or related filed.

5 Openings: $65 per hour for W2 & 115K Salary for H1B3+ years working on Apache Spark for big data processing; 1+ years of Django and Airflow development experience; 1+ years of Cloud developmentTechnical 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 public cloud; Programing: Strong coding skills in Python, Airflow, Django; experience with shell EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.