Specialist Software Engineer

<h2><b>Career Category</b></h2>Operations<h2></h2><h2><b>Job Description</b></h2><h2>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.</h2><h2></h2><h2><b><u>Roles &amp; Responsibilities:</u></b></h2><ul><li><h2>Design, develop, and maintain scalable data pipelines using AWS (Redshift, S3, Glue, Lambda) and Databricks (Spark, Delta Lake) to support enterprise analytics and reporting</h2></li><li><h2>Architect and implement <b>robust data models</b> (dimensional and normalized) to enable high-performance querying and optimized reporting in Redshift</h2></li><li><h2>Build and optimize <b>batch and real-time data processing frameworks</b>, leveraging Spark Structured Streaming and cloud-native services</h2></li><li><h2>Lead data ingestion, transformation, and orchestration workflows ensuring data quality, reliability, and performance at scale</h2></li><li><h2>Perform advanced <b>data analytics and root cause analysis</b> to troubleshoot data discrepancies, performance issues, and pipeline failures</h2></li><li><h2>Ensure data security, compliance, and role-based access control (RBAC) across data environments</h2></li><li><h2>Optimize query performance, indexing strategies, partitioning, and caching for large-scale data sets.</h2></li><li><h2>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</h2></li><li><h2>Collaborate with cross-functional teams, including data architects, business analysts, and DevOps teams, to align data engineering strategies with enterprise goals.</h2></li><li><h2>Stay up to date with emerging data technologies and best practices, ensuring continuous improvement</h2></li><li><h2>Partner with BI and reporting teams to support <b>report development, dashboard optimization, and data validation</b> for business stakeholders</h2></li><li><h2>Implement data governance best practices including data lineage, auditing, access controls, and performance tuning</h2></li><li><h2>Mentor junior engineers and contribute to architectural decisions, code reviews, and engineering standards</h2></li></ul><h2></h2><h2><u>Basic Qualifications and Experience: </u></h2><ul><li><h2>Any degree with 8 - 13 years of experience in Computer Science, IT or related field</h2></li></ul><h2></h2><h2>Functional Skills:</h2><h2><b>Must-Have Skills:</b></h2><ul><li><h2>Strong solution design and problem solving skills</h2></li><li><h2>Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, Redshift, and Scaled Agile methodologies</h2></li><li><h2>Proficiency in workflow orchestration, performance tuning on big data processing.</h2></li><li><h2>Strong understanding of AWS services</h2></li><li><h2>Experience with Data Fabric, Data Mesh, or similar enterprise-wide data architectures.</h2></li><li><h2>Ability to quickly learn, adapt and apply new technologies</h2></li><li><h2>Strong problem-solving and analytical skills</h2></li><li><h2>Excellent communication and teamwork skills</h2></li><li><h2>Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.</h2></li></ul><h2></h2><h2><b>Good-to-Have Skills:</b></h2><ul><li><h2>Good to have deep expertise in Biotech &amp; Pharma industries</h2></li><li><h2>Experience in writing APIs to make the data available to the consumers</h2></li><li><h2>Experienced with SQL/NOSQL database, vector database for large language models</h2></li><li><h2>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</h2></li></ul><h2></h2><h2><b>Education and Professional Certifications</b></h2><ul><li><h2>8 to 13 years of Computer Science, IT or related field experience</h2></li><li><h2>AWS Certified Data Engineer preferred</h2></li><li><h2>Databricks Certificate preferred</h2></li><li><h2>Scaled Agile SAFe certification preferred</h2></li></ul><h2></h2><h2><b><u>Soft Skills:</u></b></h2><ul><li><h2>Excellent analytical and troubleshooting skills.</h2></li><li><h2>Strong verbal and written communication skills</h2></li><li><h2>Ability to work effectively with global, virtual teams</h2></li><li><h2>High degree of initiative and self-motivation</h2></li><li><h2>Ability to manage multiple priorities successfully</h2></li><li><h2>Team-oriented, with a focus on achieving team goals</h2></li><li><h2>Ability to learn quickly, be organized and detail oriented</h2></li><li><h2>Strong presentation and public speaking skills</h2></li></ul><h2></h2><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.