Data Platform Engineer

integrity through rigorous testing and monitoring.

• Leverage cloud platforms (AWS, Databricks preferred) to build scalable and efficient data solutions.

• Develop basic understanding of core business problems and find opportunities to use advanced analytics

• Assist in reviewing 3rd party providers for new feature/function/technical fit with EEA's data management needs.

• Work with platform collaborators to ensure effective cost observability and control mechanisms are in place for all aspects of data platform management.

• Familiarity with code versioning using GIT, Jenkins and code migration tools.

• Keen on adopting new responsibilities, facing challenges, and mastering new technologies

• Stay up to date with the latest data technologies and trends.

Basic Qualifications:

• Master's degree in computer science or engineering field and 0 to 1 years of relevant experience OR

• Bachelor's degree in computer science or engineering field and 1 to 3 years of relevant experience OR

• Diploma and Minimum of 5+ years of relevant work experience

Must-Have Skills:

• Experience with Databricks (or Snowflake), including cluster setup, execution, and tuning

• Experience with common data processing libraries: Pandas, PySpark, SQL Alchemy.

• Experience in UI frameworks (Angular.js or React.js)

• Experience with data lake, data fabric and data mesh concepts

• Experience with data modeling, performance tuning, and experience on relational databases

• Experience building ETL or ELT pipelines; Hands-on experience with SQL/NoSQL

• Program skills in one or more computer languages - SQL, Python

• Experience in Cloud technologies AWS preferred.

• Cloud Certifications -AWS, Databricks, Microsoft

• Experienced with software engineering best-practices, including but not limited to version control (Git, GitLab.), CI/CD (GitLab, Jenkins etc.), automated unit testing, and Dev Ops

• Exposure to Jira or Jira Align.

• Experience developing in an Agile development environment.

Good-to-Have Skills:

• Knowledge on R language will be considered an advantage

• Experience in Cloud technologies AWS preferred.

• Cloud Certifications -AWS, Databricks, Microsoft

• Familiarity with the use of AI for development productivity, such as GitHub Copilot, Databricks Assistant, Amazon Q Developer

• Knowledge of Agile and DevOps practices.

• Skills in disaster recovery planning.

• Familiarity with load testing tools (JMeter, Gatling).

• Basic understanding of AI/ML for monitoring.

• Knowledge of distributed systems and microservices.

• Data visualization skills (Tableau, Power BI).

• Understanding of compliance and auditing requirements.

Soft Skills:

• Excellent analytical and solve skills

• Excellent written and verbal communications skills (English) in translating technology content into business-language at different levels

• Ability to work effectively with global teams

• High degree of initiative and self-motivation

• Ability to manage multiple priorities successfully

• Team-oriented, with a focus on achieving team goals

• Strong problem-solving and analytical skills.

• Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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