Sr Associate Software Engineer

<h2><b>Career Category</b></h2>Information Systems<h2></h2><h2><b>Job Description</b></h2><p><b>Job Description</b><br />Amgen is looking for highly motivated expert Senior Data Engineer who can own the design &amp; development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible for designing, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.</p><p><b>Roles &amp; Responsibilities:</b></p><ul><li>Design, develop, and maintain scalable data pipelines using AWS (Redshift, S3, Glue, Lambda) and Databricks (Spark, Delta Lake) to support enterprise analytics and reporting</li><li>Architect and implement robust data models (dimensional and normalized) to enable high-performance querying and optimized reporting in Redshift</li><li>Build and optimize batch and real-time data processing frameworks, leveraging Spark Structured Streaming and cloud-native services</li><li>Lead data ingestion, transformation, and orchestration workflows ensuring data quality, reliability, and performance at scale</li><li>Perform advanced data analytics and root cause analysis to troubleshoot data discrepancies, performance issues, and pipeline failures</li><li>Ensure data security, compliance, and role-based access control (RBAC) across data environments</li><li>Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets.</li><li>Develop and drive continuous improvements in CI/CD pipelines for automated data pipeline deployments, automated testing, version control, and monitoring for data platforms in a cloud-native environment</li><li>Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.</li><li>Stay up to date with emerging data technologies and best practices, ensuring continuous improvement</li><li>Partner with BI and reporting teams to support report development, dashboard optimization, and data validation for business stakeholders</li><li>Implement data governance best practices including data lineage, auditing, access controls, and performance tuning</li><li>Mentor junior engineers and contribute to architectural decisions, code reviews, and engineering standards</li></ul><p><b>Basic Qualifications and Experience: </b></p><ul><li>Any degree with 5 - 9 years of experience in Computer Science, IT or related field</li></ul><p><b>Functional Skills:</b><br /><b>Must-Have Skills:</b></p><ul><li>Strong solution design and problem solving skills</li><li>Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, Redshift, and Scaled Agile methodologies</li><li>Proficiency in workflow orchestration, performance tuning on big data processing.</li><li>Strong understanding of AWS services</li><li>Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures.</li><li>Ability to quickly learn, adapt and apply new technologies</li><li>Strong problem-solving and analytical skills</li><li>Excellent communication and teamwork skills</li><li>Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.</li></ul><p><b>Good-to-Have Skills:</b></p><ul><li>Good to have deep expertise in Biotech &amp; Pharma industries</li><li>Experience in writing APIs to make the data available to the consumers</li><li>Experienced with SQL/NOSQL database, vector database for large language models</li><li>Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops</li></ul><p><b>Education and Professional Certifications</b></p><ul><li>5 to 9 years of Computer Science, IT or related field experience</li><li>AWS Certified Data Engineer preferred</li><li>Databricks Certified preferred</li><li>Scaled Agile SAFe certification preferred</li></ul><p><b>Soft Skills:</b></p><ul><li>Excellent analytical and troubleshooting skills.</li><li>Strong verbal and written communication skills</li><li>Ability to work effectively with global, virtual teams</li><li>High degree of initiative and self-motivation</li><li>Ability to manage multiple priorities successfully</li><li>Team-oriented, with a focus on achieving team goals</li><li>Ability to learn quickly, be organized and detail oriented</li><li>Strong presentation and public speaking skills</li></ul><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.