27 days ago
Hyderābād, IndiaSenior
Responsibilities
- Design, develop, maintain, and deploy data solutions for data generation, collection, processing, and integration.
- Build and support scalable data pipelines and ETL/ELT processes across systems.
- Develop data models, data dictionaries, documentation, reports, visualizations, and data governance initiatives.
- Implement data quality, security, privacy, and compliance measures for sensitive data.
- Use cloud platforms, preferably AWS, to build efficient data solutions.
- Own data pipeline projects from inception through deployment, including scope, timelines, risks, and technical estimates.
- Collaborate with product teams, Data Architects, Business SMEs, and Data Scientists to deliver end-to-end data solutions.
- Identify and resolve complex data-related challenges and improve ETL platform performance.
- Design and implement AI solutions using LLMs, RAG, vector search, tokenization, prompt engineering, and AI-assisted development tools.
- Participate in sprint planning and follow coding, testing, and reusable component best practices.
Requirements
- Bachelor's or master's degree in Computer Science, IT, or a related field, with 5–9 years of relevant experience.
- Hands-on experience with Databricks, Apache Spark, PySpark, SparkSQL, workflow orchestration, and big data performance tuning.
- Proficiency with SQL and experience using data visualization tools.
- Experience designing and implementing ETL/ELT processes, data pipelines, data integration solutions, data modeling, and data warehousing.
- Knowledge of Python or R and Python packages for data processing or machine learning model development.
- Knowledge of AWS, SageMaker, and cloud data platforms.
- Hands-on experience developing AI solutions using LLMs, RAG, vector search, tokenization, prompt engineering, and tools such as OpenAI Codex or GitHub Copilot.
- Understanding of data governance frameworks, data protection regulations, and compliance requirements.
- Strong problem-solving, critical-thinking, communication, collaboration, presentation, and teamwork skills.
- Preferred certification as a Data Engineer or Data Analyst, particularly through Databricks or a cloud provider.
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.