2 months ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, and maintain data solutions for data generation, collection, and processing.
- Assist with the design and development of data pipelines.
- Create ETL pipelines to migrate and deploy data across systems while ensuring data quality.
- Develop metric dashboards, self-service analytics, and business insights using Tableau or Power BI.
- Maintain data models, data dictionaries, and documentation for data accuracy and consistency.
- Use cloud platforms, preferably AWS, to build scalable data solutions.
- Apply coding, testing, and reusable component design best practices.
- Perform exploratory data analysis, feature engineering, data cleansing, and data quality assessment.
- Support annual product reviews, regulatory inspections, and process documentation.
- Collaborate with data engineers on data analytics and complex datasets.
Requirements
- Bachelor’s or master’s degree in a relevant field such as Computer Science or Engineering, or equivalent.
- 5–8 years of experience in Information Technology, Information Systems, or a related field.
- Hands-on experience with big data technologies including Databricks, PySpark, and SparkSQL.
- Experience with workflow orchestration and performance tuning for big data processing.
- Experience with Python and R packages for exploratory data analysis, feature engineering, and machine learning model training.
- Proficiency with SQL, data analysis, and data visualization tools.
- Experience with Tableau, Power BI, or Python visualization libraries such as matplotlib and seaborn.
- Understanding of data modeling, data warehousing, data integration, and ETL concepts.
- Strong problem-solving, critical-thinking, communication, collaboration, and presentation skills.
- Experience in the global pharmaceutical industry is preferred.
- Experience with Apache Spark and Python packages for data processing and machine learning development is preferred.
- Interest in GenAI/LLM technology and data products supporting natural language interfaces is preferred.
- A Certified Data & Analytics professional certification is preferred.
Tech Stack
Categories
Data Engineering
About Amgen
Amgen is a public biotechnology company that discovers, develops, manufactures, and sells biologic and biosimilar therapeutics for patients with serious diseases. Its portfolio and pipeline span oncology, cardiovascular disease, osteoporosis, inflammation, and rare diseases, marketed globally through direct sales and partnerships. Founded in 1980 and headquartered in Thousand Oaks, California (NASDAQ: AMGN), Amgen is a component of the Dow Jones Industrial Average and completed the acquisition of Horizon Therapeutics in 2023.