QA Automation Architect
QA Automation Architect
Posted on :
01-11-2024
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Posted on :
01-11-2024
Job Description
Title: Automation Architect
Location: Jersey City NJ
Hybrid Model
Skills Must: Automation Architect DevOps Python Pytest Selenium
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 endtoend 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:
- Bachelors or Masters degree in Computer Science Information Technology or a related field.
- Experience in data architecture cloud infrastructure and automation.
- Handson 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.
- Handson experience in Python PyTest Docker
- Strong knowledge in Kafka and MongoDB
- Strong knowledge of infrastructureascode (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 problemsolving and communication skills.
Employment Type
Full Time
Key Skills
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