Python/Cloud Engineer Position Available In Mecklenburg, North Carolina
Tallo's Job Summary: The Python/Cloud Engineer position in Charlotte, NC, requires 7+ years of experience. Responsibilities include designing data pipelines, developing docker images, optimizing Spark jobs, and integrating data sources. Qualifications include 3+ years of Apache Spark experience, proficiency in Python/PySpark, and familiarity with Docker and Kubernetes concepts. The employer is seeking candidates with strong cloud development skills.
Job Description
Python/Cloud Engineer
Contact Details:
1.
Saravanan Ganesan Email:
Cell:
Job Title:
Python/Cloud Engineer
Location:
Charlotte, NC (Hybrid, 3 days Onsite)
Duration:
12 Months+
Years of Experience:
7+ Yrs.
Required Hours/Week:
40hrs./Week
Notes:
Need someone who can can read and rewrite older code on to the cloud and OpenShift
Experience with OpenShift preferred. Will consider candidates with strong Kubernetes experience if OpenShift is not present.
Experience with Google Cloud Platform is not mandatory, Candidates with AWS or Azure are acceptable
Mandatory Technical Skills:
Python, PySpark
Job Description:
The end client is seeking a full stack Engineer to join their 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:
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 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.
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Dice Id:
90859525
Position Id:
2025-2312
