Cloud DevOps Engineer

Core Job Responsibilities:

• Support the development and maintenance of company-wide frameworks and libraries that enable faster, better, and more informed decision-making within the business, creating significant business value from data & analytics.

• Ensure data availability and accessibility for prioritized Advanced Analytics scope, and maintain stable, scalable, and modular data science pipelines from data exploration to deployment.

• Acquire, ingest, and process data from multiple sources and systems into our cloud platform (AWS), ensuring data integrity and security.

• Collaborate with data scientists to map data fields to hypotheses, and curate, wrangle, and prepare data for advanced analytical models.

• Implement and manage robust security measures to ensure compliant handling and management of data, including access strategies aligned with Information Security, Cyber Security, and Data Privacy principles.

• Develop and deploy smart automation tools based on cloud technologies, aligned with business priorities and needs.

• Oversee the timely delivery of Advanced Analytics solutions in collaboration with business stakeholders, ensuring alignment with business goals.

• Collaborate closely with the Data Science team and AI Engineers to understand their platform needs and lead the development of solutions that support their work.

• Troubleshoot and resolve issues related to the AWS platform, ensuring minimal downtime and optimal performance.

• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.

• Drive continuous improvement of the AWS Cloud platform by contributing and implementing new ideas and processes.

Supervisory/Management Responsibilities:

• Direct Reports: None.

• Indirect Reports: None.

Position Accountability/Scope:

Minimum Education:

Master in relevant field (e.g., computer science, electrical engineering)

Minimum Experience/Training Required:

• At least 5 years of relevant experience, with a strong track record in deploying solutions/applications on AWS cloud environment

• Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets.

• Proficiency in multiple programming languages – Javascript, Python, Scala, or Java.

• Extensive knowledge and experience with various database technologies, including distributed processing frameworks, relational databases, MPP databases, and NoSQL data stores.

• Deep understanding of Information Security principles to ensure compliant handling and management of data.

• Significant experience with cloud platforms, preferably AWS and its ecosystem.

• Advanced knowledge of development in CICD (Continuous Integration and Continuous Delivery) environments.

• Strong background in data warehousing / ETL tools.

• Proficiency in DevOps practices and tools such as Jenkins, Terraform, etc.

• Proficiency in serverless architecture and services like AWS Lambda.

• Understanding of security best practices and implementation in cloud environments.

• Ability to understand business objectives and create cloud-based solutions to meet those objectives.

• Result-driven, analytical, and creative thinker.

• Proven ability to work with cross-functional teams and bridge the gap between business and data science.

• Fluency in English is a must; additional languages are a plus.

Additional Technical Skills:

• Experience with front-end frameworks preferably React JS.

• Knowledge of back-end frameworks like Django, Flask, or Node.js.

• Familiarity with database technologies such as RedShift, MySQL, or DynamoDB.

• Understanding of RESTful API design and development.

• Experience with version control systems like CodeCommit.

Industries:Electrical & Electronic Manufacturing, Information Technology & Services, Mechanical Or Industrial Engineering