Amgen - Data Engineer - SQL/Python

Job Description : Roles & Responsibilities : - Design, develop, and implement data pipelines, ETL/ELT processes, and data integration solutions - Contribute to data pipeline projects from inception to deployment, manage scope, timelines, and risks - Contribute to data models for biopharma scientific data, data dictionaries, and other documentation to ensure data accuracy and consistency - Optimize large datasets for query performance - Collaborate with global cross-functional teams including research scientists to understand data requirements and design solutions that meet business needs - Implement data security and privacy measures to protect sensitive data - Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions - Collaborate with Data Architects, Business SMEs, Software Engineers and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions - Identify and resolve data-related challenges - Adhere to best practices for coding, testing, and designing reusable code/component - Explore new tools and technologies that will help to improve ETL platform performance - Participate in sprint planning meetings and provide estimations on technical implementation - Maintain documentation of processes, systems, and solutions What we expect of you : We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications : - Masters degree and 1 to 3 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR - Bachelors degree and 3 to 5 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience OR - Diploma and 7 to 9 years of Computer Science, IT, Computational Chemistry, Computational Biology/Bioinformatics or related field experience. Preferred Qualifications and Experience : - 1 years of experience in implementing and supporting biopharma scientific research data analytics (software platforms) Must-Have Skills : - Proficiency with SQL and Python for data engineering, test automation frameworks (pytest), and scripting tasks - Hands on experience with big data technologies and platforms, such as Databricks (or equivalent), Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing - Excellent problem-solving skills and the ability to work with large, complex datasets. Good-to-Have Skills : - A passion for tackling complex challenges in drug discovery with technology and data - Basic understanding of data modeling, data warehousing, and data integration concepts - Experience using RDBMS (e.g. Oracle, Postgres, MySQL, SQL server) - Knowledge of cloud data platforms (AWS preferred) - Experience with data visualization tools (e.g. Dash, Plotly, Spotfire) - Experience with diagramming and collaboration tools such as Miro, Lucidchart or similar tools for process mapping and brainstorming - Experience writing and maintaining technical documentation in Certifications : - Databricks Certified Data Engineer Professional preferred Soft Skills : - Excellent critical-thinking and problem-solving skills - Strong communication and collaboration skills - Demonstrated awareness of how to function in a team setting - Demonstrated presentation skills (ref:hirist.tech)

Location: delhi, IN

Posted Date: 4/9/2025