Sr. Associate Integration Software Engineer

Amgen is seeking a Sr Associate Software Engineer to contribute to designing, building, maintaining , analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing data pipelines, supporting and executing data governance initiatives and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills and experience with MuleSoft, Databricks, Airflow and AWS.

Roles & Responsibilities:

• Design, develop, and maintain data solutions for data generation, collection, and processing using Databricks and Airflow

• Design, build and maintain APIs and MuleSoft jobs leveraging best practices to build robust integrations between CRM and cross-functional systems

• Be a key team member that assists in design and development of the data pipeline

• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks

• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency

• Implement data security and privacy measures to protect sensitive data

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

• Collaborate and communicate effectively with product teams

• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipeline s to meet fast-paced business need s across geographic regions

• Identify and resolve complex data-related challenges

• Adhere to best practices for coding, testing, and designing reusable code/component

• Explore new tools and technologies that will help to improve ETL platform performance

• Participate in sprint planning meetings and provide estimations on technical implementation

Basic Qualifications and Experience:

• Masters degree and 3 to 7 years of Computer Science, IT or related field experience OR

• Bachelors degree and 5 to 9 years of Computer Science, IT or related field experience OR

• Diploma and 7 to 11 years of Computer Science, IT or related field experience

Functional Skills:

Must-Have Skills

• Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark ( PySpark , SparkSQL ), workflow orchestration, performance tuning on big data processing

• Proficiency in data analysis tools ( eg. SQL) and experience with data visualization tools

• Skilled in MuleSoft API and Mulesoft integration job design and development

• Excellent problem-solving skills and the ability to work with large, complex datasets

• Strong understanding of data governance frameworks, tools, and best practices.

• Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

• Strong understanding of data modeling, data warehousing, and data integration concepts

• Knowledge of AnyPoint Platform, Python/R, Databricks, SageMaker, Airflow, AWS cloud data platforms

• Proficiency in using Databricks Assistant, and other AI tools

Professional Certifications

• Certified in MuleSoft Certified Developer 1 or higher (preferred)

• Certified Associate or Professional Data Engineer / Data Analyst (preferred on Databrick)

• Certified AWS Professional or Associate certification (preferred)

Soft Skills:

• Excellent critical-thinking and problem-solving skills

• Strong communication and collaboration skills

• Demonstrated awareness of how to function in a team setting

• Demonstrated presentation skills