100% Onsite :: Python Test Architect :: Contract :: San Diego, CA at Remote, Remote, USA |
Email: [email protected] |
Hi All, Hope you are doing well. This is Rohit from Convex Tech. I am reaching you regarding a job opportunity which I am trying to fill for a client of ours. Please take a look over the job description below and let me know if you have any suitable consultants for the same. LOOKING FOR SOMEONE WHO CAN GO ONSITE FROM DAY 1 IN SAN DIEGO, CA. Must haves in the resume:- PRIMARY SKILLS:- Python, PySpark & PyTest SECONDARY SKILLS:- AWS, MongoDB, Kafka, RabbitMQ Position: Python Test Architect Location: San Diego, CA (100% Onsite) Mode of job: Contract Interview:- Immediate Key Responsibilities: Design, build, and maintain scalable cloud data architectures and automated solutions that support data ingestion, processing, and storage.Develop automation frameworks and tools for deploying and managing cloud infrastructure and data services. Collaborate with data engineers, DevOps teams, and data scientists to implement end-to-end data pipelines and workflows. Ensure automation of data quality, security, and governance processes, enabling seamless integration across cloud environments. Drive the implementation of cloud best practices, including monitoring, disaster recovery, security, and cost optimization. Lead efforts in automating testing, deployment, and monitoring of data infrastructure. Evaluate and recommend tools and technologies to improve automation processes for cloud data platforms. Provide technical leadership, mentoring, and knowledge sharing within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 7+ years of experience in data architecture, cloud infrastructure, and automation. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, with deep expertise in services such as AWS Lambda, S3, RDS, EMR, Azure Data Factory, Databricks, etc. Hands-on experience in Python, PySpark, PyTest, Docker Strong knowledge in Kafka and MongoDB Strong knowledge of infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, or Ansible. Proven expertise in automating data pipelines using tools like Apache Airflow, Jenkins, or similar CI/CD tools. Proficiency in scripting and programming languages (e.g., Python, Bash, Java). Experience with big data technologies such as Hadoop, Spark, or Kafka. Strong knowledge of DevOps methodologies and containerization tools (e.g., Docker, Kubernetes). Deep understanding of data security, privacy, and compliance in cloud environments. Excellent problem-solving and communication skills. Thanks and Regards Rohit Nath Recruitment Account Manager Email: [email protected] -- Keywords: continuous integration continuous deployment access management sthree information technology golang California 100% Onsite :: Python Test Architect :: Contract :: San Diego, CA [email protected] |
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Mon Oct 28 22:09:00 UTC 2024 |