Sr. Associate Integration Software Engineer

<h2><b>Career Category</b></h2>Information Systems<h2></h2><h2><b>Job Description</b></h2><div><div><p><u><span>ABOUT AMGEN</span></u><span> </span></p></div><div><p><span><span>Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, </span><span>fuller</span><span> and longer. We discover, develop, </span><span>manufacture</span><span> and deliver innovative medicines to help millions of patients. Amgen helped </span><span>establish</span><span> the biotechnology industry more than 40 years ago and </span><span>remains</span><span> on the </span><span>cutting-edge</span><span> of innovation, using technology and human genetic data to push beyond what’s known today.</span></span><span> </span></p></div><div><p><span><span> </span></span><span> </span></p></div><div><p><u><span>ABOUT THE ROLE</span></u><span> </span></p></div><div><p><u><span>Role Description:</span></u><span> </span></p></div><div><p><span><span>Amgen is seeking a </span></span><b><span>Sr Associate Software Engineer</span><span> </span></b><span><span>to contribute to</span><span> designing, building, </span><span>maintaining</span><span>, </span><span>analyzing, and interpreting data to </span><span>provide</span><span> actionable insights that drive business decisions. This role involves working with large datasets, developing </span><span>data pipelines, </span><span>supporting</span><span> and executing data governance initiatives </span><span>and visualizing data </span><span>to </span><span>ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills and experience with </span><span>MuleSoft, Databricks, Airflow and AWS. </span></span><span> </span></p></div><div><p><u><span>Roles &amp; Responsibilities:</span></u><span><span> </span></span><span> </span></p></div><div><ul><li><p><span><span>Design, develop, and </span><span>maintain</span><span> data solutions for data generation, collection, and processing </span><span>using Databricks and Airflow</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Design, build and </span><span>maintain</span><span> APIs and MuleSoft jobs </span><span>leveraging</span><span> best practices to build robust integrations between CRM and cross-functional systems</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Be a key team member </span><span>that </span><span>assists</span><span> </span><span>in design and development of the data pipeline</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Take ownership of data pipeline projects from </span><span>inception</span><span> to deployment, manage scope, timelines, and risks</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Develop and </span><span>maintain</span><span> data models, data dictionaries, and other documentation to ensure data accuracy and consistency</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Implement data security and privacy measures to protect sensitive data</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate and communicate effectively with product teams</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipeline</span><span>s</span><span> to meet </span><span>fast-paced</span><span> business need</span><span>s</span><span> across geographic regions</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Identify</span><span> and resolve complex data-related challenges</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Adhere to best practices for coding, testing, and designing reusable code/component</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Explore new tools and technologies that will help to improve ETL platform performance</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Participate in sprint planning meetings and provide estimations on technical implementation</span></span><span> </span></p></li></ul></div><div><p><u><span>Basic Qualifications and Experience:</span></u><span> </span></p></div><div><ul><li><p><span><span>Master’s degree and 3 to 7 years of Computer Science, </span><span>IT</span><span> or related field </span><span>experience  OR</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Bachelor’s degree and 5 to 9 years of Computer Science, </span><span>IT</span><span> or related field experience OR</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Diploma and 7 to 11 years of Computer Science, </span><span>IT</span><span> or related field experience</span></span><span> </span></p></li></ul></div><div><p><u><span>Functional Skills:</span></u><span> </span></p></div><div><p><b><span>Must-Have Skills </span></b><span> </span></p></div><div><ul><li><p><span><span>Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (</span><span>PySpark</span><span>, </span><span>SparkSQL</span><span>), workflow orchestration, performance tuning on big data processing</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><ul><li><p><span><span>Proficiency</span><span> in data analysis tools (</span><span>eg.</span><span> SQL) and experience with data visualization tools</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Skilled in MuleSoft API and </span><span>Mulesoft</span><span> integration job design and development</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Excellent problem-solving skills and the ability to work with large, complex datasets</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong understanding of data governance frameworks, tools, and best practices.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)</span></span><span> </span></p></li></ul></div><div><p><b><span>Good-to-Have Skills:</span></b><span> </span></p></div><div><ul><li><p><span><span>Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong understanding of data modeling, data warehousing, and data integration concepts</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Knowledge of </span><span>AnyPoint</span><span> Platform, </span><span>Python/R, Databricks, SageMaker,</span><span> Airflow, AWS </span><span>cloud data platforms</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proficiency</span><span> in using Databricks Assistant, and other AI tools</span></span><span> </span></p></li></ul></div><div><p><u><span>Professional Certifications </span></u><span> </span></p></div><div><ul><li><p><span><span>Certified in MuleSoft Certified Developer 1 or higher (preferred)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Certified </span><span>Associate or Professional </span><span>Data Engineer / Data Analyst (preferred on Databrick)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Certified </span><span>AWS Professional or Associate certification (preferred)</span></span><span> </span></p></li></ul></div><div><p><u><span>Soft Skills:</span></u><span> </span></p></div><div><ul><li><p><span><span>Excellent </span><span>critical-thinking and </span><span>problem-solving skills </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong communication</span><span> and collaboration skills</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated awareness of how to function in a team setting</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Demonstrated presentation skills</span></span><u><span> </span></u><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><span> </span></p></div><div><p><u><span>EQUAL OPPORTUNITY STATEMENT</span></u><span> </span></p></div><div><p><span><span>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.</span></span><span> </span></p></div><div><p><span><span>We will ensure that individuals with disabilities are provided with reasonable accommodation to </span><span>participate</span><span> 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 accommodation.</span></span><span> </span></p></div></div><p></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.