Let’s do this. Let’s change the world. In this vital role as Senior Associate Software Engineer at Amgen you will be responsible for designing, building, maintaining cloud applications and APIs and designing, maintaining, analyzing and interpreting data to provide actionable insights that drive business decisions. This role involves working with APIs, Cloud based apps, large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with building APIs, cloud apps, big data technologies, and a deep understanding of data architecture and ETL processes.
Build Rest APIs, Bulk APIs, SOAP APIs to integrate different systems
Strong experience with designing schema and writing postgresSQL queries and SQL queries in general
Solid understanding of AWS Lambda, S3 bucket upload, EMR and EC2
Understanding of Object model in Salesforce applications
Design, develop, and optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data. A knowledge of Medallion Architecture will be an added advantage
Build ETL pipeline with Informatica or other ETL tools
Support data governance and metadata management
Experience using static code scan tools
Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
Identify and resolve complex challenges
Adhere to best practices for coding, testing, and designing reusable code/component
Analyze business and technical requirements and begin translating them into simple development tasks
Execute unit and integration tests, and contribute to maintaining software quality
Identify and fix bugs and defects during development or testing phases
Contribute to the maintenance and support of applications by monitoring performance and reporting issues
Use CI/CD pipelines as part of DevOps practices and assist in the release process
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications:
Preferred Qualifications:
Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
Knowledge of Python/R, REST APIs, SQL, Databricks, cloud data platforms
Strong understanding of data governance frameworks, tools, and best practices.
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
Must-Have Skills:
Bachelor’s or master’s degree in computer science, Data Science, or a related field.
Hands on experience with big data technologies and platforms, such as Databricks, REST APIs, Bulk APIs, Apache Spark (PySpark, SparkSQL), python for workflow orchestration, performance tuning on big data processing
Proficiency in data analysis tools (eg. SQL)
Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
Strong programming skills in Python, PySpark, and SQL.
Familiarity with Informatica and/or other ETL tools.
Experience working with cloud data services (Azure, AWS, or GCP).
Strong understanding of data modeling, entity relationships
Professional Certifications
Soft Skills:
Excellent problem-solving and analytical skills
Strong communication and interpersonal abilities
High attention to detail and commitment to quality
Ability to prioritize tasks and work under pressure
Team-oriented with a proactive and collaborative mindset
Willingness to mentor junior developers and promote best practices
Adaptable to changing project requirements and evolving technology
Ready to Apply for the Job?
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Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a “Partially Meets Expectations” or higher. Please visit our Internal Transfer Guidelines for more detailed information
