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Jobs or company...
S

Automation Architect

Salary undisclosed

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Dice
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Simplified

Hello,

Greetings from S3 Staffing..

We have a job opportunity. Please have a look and let me know if you are interested.

Please see the Job Description below:

Role: Automation Architect

Location: San Diego, CA

Duration: Long Term Contract

JD:

Key Skills:

Primary Skills: Python, PySpark, PyTest

Secondary Skills: AWS, MongoDB, Kafka, RabbitMQ

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 & Regards,

Kumar,

S3staffingusa

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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