{"id":3343700,"url":"https://alion.io/job/amgen-data-engineer-6","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":null,"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":20000,"max_usd":55000,"period":"year","method":"role_country_seniority_unknown","sample_n":171},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Copilot","optional":true},{"name":"Cursor","optional":true},{"name":"Git","optional":true},{"name":"Jenkins","optional":true}],"status":"live","first_seen_at":"2026-06-04T00:00:00Z","employer_posted_date":"2026-06-04","last_verified_at":"2026-10-29T01:28:23Z","board_verified":true,"closed_at":null,"days_open":147,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":146},"description":"Career Category\nManufacturingJob Description\nRole Description:\nLet’s do this. Let’s change the world. We are looking for a highly motivated expert Data Engineer to design and develop advanced data pipelines and solutions for our Manufacturing Applications Product Team. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics for Manufacturing and Operations use cases. This role requires deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.\nRoles & Responsibilities\nDesign, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets.\nBuild highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains.\nDesign and implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments.\nIngest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms.\nEnsure data integrity, accuracy, and consistency through rigorous quality checks and monitoring.\nInnovate, explore, and implement new tools and technologies to enhance efficient data processing.\nProactively identify and implement opportunities to automate tasks and develop reusable frameworks.\nWork in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value.\nUse JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories.\nSupport continuous improvement, test automation, and DevOps practices in the data engineering lifecycle.\nCollaborate and communicate effectively with product teams and cross-functional teams to understand business requirements and translate them into technical solutions.\nMust-Have Skills\nHands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies.\nProficiency in workflow orchestration and performance tuning on big data processing.\nStrong understanding of AWS services.\nAbility to quickly learn, adapt, and apply new technologies.\nStrong problem-solving and analytical skills.\nExcellent communication and teamwork skills.\nExperience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices.\nExperience with streaming technologies such as Apache Kafka, Debezium, or similar platforms for real-time data processing and integration.\nGood-to-Have Skills\nExperience with AI assisted code development using tools like GitHub Copilot, Cursor, Claude Code.\nData engineering experience in biotechnology or pharma industry.\nExperience in writing APIs to make data available to consumers.\nExperience with SQL/NoSQL databases, vector databases for large language models.\nExperience with data modeling and performance tuning for both OLAP and OLTP databases.\nExperience with software engineering best practices, including version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven, etc.), automated unit testing, and DevOps.\nExperience with manufacturing related data sources like SCADA, Data Historians is a plus\nEducation and Professional Certifications\nMaster’s /Bachelor’s degree and 5-8 years of Computer Science, IT, or related field experience\nAWS Certified Data Engineer preferred\nDatabricks Certificate preferred\nScaled Agile SAFe certification preferred\nSoft Skills\nExcellent analytical and troubleshooting skills.\nStrong verbal and written communication skills.\nAbility to work effectively with global, virtual teams.\nHigh degree of initiative and self-motivation.\nAbility to manage multiple priorities successfully.\nTeam-oriented, with a focus on achieving team goals.\nAbility to learn quickly, be organized, and detail-oriented.\nStrong presentation and public speaking 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