{"id":3335314,"url":"https://alion.io/job/amgen-data-engineer-5","title":"Data Engineer","company":{"id":4775,"name":"Amgen","domain":"amgen.com","url":"https://alion.io/company/amgen","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":353,"ghost_share":0,"stale_share":0.578,"repost_share":0.003,"time_to_fill_p50_days":42,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Jenkins","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-28T09:58:25Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"Career Category\nInformation SystemsJob Description\nData Engineer\nRole Name: Data Engineer\nDepartment Name: OUS Contracts & Pricing Hub\nRole GCF: 4\nHiring Manager Name: Chunhai He\nABOUT AMGEN\nAmgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainson thecutting-edgeof innovation, using technology and human genetic data to push beyondwhat’sknown today.\nABOUT THE ROLE\nRole Description:\nWe seek a skilled Data Engineer tobuild andoptimizeour data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Yourexpertisewill be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.\nRoles & Responsibilities:\nBuilding andoptimizingdata pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.\n\nManaging andmaintainingthe AWS and Databricks environments.\n\nEnsuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.\n\nMaintain system uptime andoptimalperformance\n\nWorking closely with cross-functional teams to understand business requirements and translate them into technical solutions.\n\nExploringand implementing new tools and technologies to enhance ETL platform performance.\n\nFunctional Skills:\nMust-Have Skills:\nProficientin SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability tooptimizequery performance onbig dataplatforms.\n\nProficientinleveragingPython,PySpark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes.\n\nAbility to learnnew technologiesquickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.\n\nGood-to-Have Skills:\nExperiencedwithSQL/NOSQL database, vector database for large language models\n\nExperiencedwith data modeling and performance tuning for both OLAP and OLTP databases\n\nExperiencedwith Apache Spark, Apache Airflow\n\nExperiencedwith 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\n\nExperiencedwith AWS, GCP or Azure cloud services\n\nEducation andProfessional Certifications\n5 to 9 years of experience and Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered\n\nAWS Certified Data Engineerpreferred\n\nDatabricksCertificate preferred\n\nSoft Skills:\nExcellent analytical and troubleshooting skills.\n\nStrong verbal and written communication skills\n\nAbility to work effectively with global, virtual teams\n\nHigh degree of initiative and self-motivation.\n\nAbility to manage multiple priorities successfully.\n\nTeam-oriented, with a focus on achieving team goals\n\nStrong presentation and public speaking skills.\n\nEQUAL OPPORTUNITY STATEMENT\nAmgen 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.\nWe will ensure that individuals with disabilities are provided with reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. 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