1074 Amgen Technology Pvt Ltd.

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><body><h2>  <b>Career Category</b></h2><p>Engineering</p><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 </span><span>what’s</span><span> known today.</span></span><span> </span></p></div><div><p><span><span> </span></span><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>The </span><span>role </span><span>is responsible for</span><span> designing, building, </span><span>maintaining</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 reports, </span><span>supporting</span><span> and executing data governance </span><span>initiatives</span><span> </span><span>and</span><span> visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes</span></span><span> </span></p></div><div><p><u><span>Roles & Responsibilities:</span></u><span><span> </span></span><span> </span></p></div><div><ul><li><p><span><span>Analyze complex datasets (pricing, rebates, provider contracting, market access) using Excel, SQL, and Databricks to create reports, dashboards, and analytics-ready datasets that drive decision-making.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Identify</span><span> trends, anomalies, and opportunities within large-scale datasets, delivering actionable insights and strategic recommendations in partnership with business teams.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Clean, organize, and </span><span>validate</span><span> data for accuracy and consistency; build and maintain ETL/ELT workflows (Databricks, </span><span>PySpark</span><span>, SQL); apply data quality checks, dictionaries, and governance standards.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with cross-functional teams (pricing, contracting, finance, product, and data science) to integrate data from multiple sources (cloud storage, APIs, SQL databases) and bridge technical and business needs.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Automate ingestion, preparation, and reporting pipelines with Databricks Jobs and scheduling tools, ensuring </span><span>timely</span><span> delivery of datasets and insights.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Optimize</span><span> queries, transformations, and Spark jobs for scalability and performance, applying caching, partitioning, and indexing techniques.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><ul><li><p><span><span>Document data sources, methodologies, and business rules clearly; communicate insights through structured reports, visualizations, and presentations; adhere to governance, security, and privacy requirements.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><ul><li><p><span><span>Coordinate with global stakeholders across time zones to support reporting needs, troubleshoot issues, and </span><span>align on</span><span> priorities; contribute to agile practices such as sprint planning and estimations.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><u><span>Basic Qualifications and Experience:</span></u><span> </span></p></div><div><ul><li><p><span><span>Bachelor’s</span><span> / </span><span>Master’s</span><span> degree and 3</span><span> to 5</span><span> years</span><span> of </span><span>Computer Science, </span><span>IT</span><span> or related field</span><span> 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 and Apache Spark (</span><span>PySpark</span><span>, </span><span>SparkSQL</span><span>), including workflow orchestration and performance tuning for large-scale data processing.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Proficiency</span><span> in SQL and advanced Excel (pivot tables, lookups, advanced formulas) for data analysis, with experience generating clear, actionable reports and summaries.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Excellent problem-solving skills with the ability to work with large, complex datasets to </span><span>identify</span><span> trends, anomalies, and actionable insights.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong understanding of data governance frameworks, tools, and best practices, with knowledge of data protection regulations (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 familiarity with various Python packages related to data processing and 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 to support analytics readiness.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Knowledge of Python/R, Databricks, SageMaker, and cloud data platforms (AWS preferred, Snowflake exposure </span><span>a plus</span><span>).</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with data visualization tools (Power BI, Tableau, or equivalent) to present insights effectively to business stakeholders.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Familiarity with healthcare, pharmaceutical market access, pricing, rebates, or contracting datasets to provide context-driven analytics.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ability to automate workflows using Databricks Jobs, notebooks, and scheduling tools, ensuring </span><span>timely</span><span> delivery of analytics and reports.</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><u><span>Professional Certifications</span><span> (Preferred)</span></u><u><span>:</span></u><span> </span></p></div><div><ul><li><p><span><span>Certified Data Engineer / Data Analyst</span><span> (preferred on </span><span>Databricks </span><span>or cloud environments)</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><u><span>Shift Information:</span></u><span> </span></p></div><div><p><span><span>This position requires you to work a later shift and may be </span><span>assigned</span><span> a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as </span><span>required</span><span> based on business requirements.</span></span><span> </span></p></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 </span><span>an accommodation</span><span>.</span></span><span> </span></p></div></div><p/><p/><p/><p>.</p></body></html>

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