Cloud Engineer

With the above requirements in mind, EPD is looking to fill a role of a Cloud Engineer reporting to the Head of AA Product Development. The Cloud Engineer will be responsible for developing applications leveraging AWS services. This role involves leading cloud initiatives, ensuring robust cloud infrastructure, and driving innovation in cloud technologies to support the businesss advanced analytics needs.

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 coordination with the rest of the team and per requirements and timelines, ensuring alignment with business goals.

• Collaborate closely with the Data Science team and AI Engineers

  to understand 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:

The Cloud Engineer is accountable for delivering targeted business impact per initiative in collaboration with key stakeholders. This role involves significant responsibility for the architecture and management of Abbotts strategic cloud platforms and AI/AA programs, enabling faster, better, and more informed decision-making within the business.

Minimum Education:

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

Minimum Experience/Training Required:

• At least 3-5 years of relevant experience, with a strong track record in building solutions/applications using AWS services
• 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, PySpark 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.

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