Data Engineer

Amgen SA; Hyderabad; On-site; INR 1,100,000 - 1,600,000; Full time

Job summary

Amgen SA in Hyderabad, India seeks a Level 4 Data Engineer to design, build, and maintain data pipelines, analyze large datasets, and provide actionable insights to guide business decisions. You will develop ETL/ELT processes, ensure data quality, and collaborate with data scientists, architects, and product teams.

Required skills include Databricks, Apache Spark, SQL, Python, and cloud platforms (AWS/GCP). Knowledge of data governance, data modeling, and AI concepts (LLMs, RAG) is a plus.

Qualifications

• Master's/Bachelor's degree in CS or IT with 5–9 years of experience
• Hands-on experience with big data technologies and platforms (Databricks, Spark)
• Proficiency in data analysis and visualization tools
• Knowledge of data governance and data protection regulations
• Experience with AI/LLM/RAG and associated tooling

Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Implement data security and privacy measures to protect sensitive data
• Leverage cloud platforms (AWS/GCP) to build scalable and efficient data solutions
• Collaborate with Data Architects, Data Scientists, and product teams to design end-to-end pipelines across regions
• Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks
• Explore new tools to improve ETL platform performance
• Participate in sprint planning meetings and provide estimations on technical implementation

Skills

Big data technologies

Databricks

Apache Spark

SQL

Python

Data governance

Cloud platforms (AWS/GCP)

AI/ML concepts

Data modeling

Data visualization

Education

Master's/Bachelor's degree in Computer Science or related field

Tools

OpenAI Codex

GitHub Copilot

SageMaker

ETL tools

Job description

Level 4 Data Engineer:

What you will do

Let'sdo this.Let'schange the world. In this vitalroleyou willbe responsible fordesigning, building,maintaining, analyzing, and interpreting data toprovideactionable insights that drive business decisions. This role involves working with large datasets, developing reports,supportingand performing data governanceinitiativesand,visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with database technologies, and a deep understanding of data architecture and ETL processes.

Roles & Responsibilities:

• Design, develop, andmaintaindata solutions for data generation, collection, and processing

• Be a crucial team member thatassistsin design and development of the data pipeline

• Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems

• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions

• Hands-on experience designing, developing, and implementing AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, tokenization, prompt engineering, and AI-assisted development tools such as OpenAI Codex, GitHub Copilot, or equivalent platform.

• Take ownership of data pipeline projects frominceptionto deployment, manage scope, timelines, and risks

• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs

• Develop andmaintaindata models, data dictionaries, and other documentation to ensure data accuracy and consistency

• Implement data security and privacy measures to protect sensitive data

• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

• Collaborate and communicate effectively with product teams

• Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions

• Identifyand resolve complex 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Master's/Bachelor'sdegree and 5 - 9 years of Computer Science,ITor related field experience

Preferred Qualifications:

Must-Have Skills:

• Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark,SparkSQL), workflow orchestration, performance tuning on big data processing

• Proficiencyin data analysis tools (eg.SQL) and experience with data visualization tools

• Excellent problem-solving skills and the ability to work with large, complex datasets

• Solid understanding of data governance frameworks, tools, and best practices.

• Knowledge of data protection regulations and compliance requirements

Good-to-Have Skills:

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development

• Good understanding of data modeling, data warehousing, and data integration concepts

• Knowledge of Python/R, Databricks, SageMaker, cloud data platforms

• Hands-on experience designing, developing, and implementing AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector search, tokenization, prompt engineering, and AI-assisted development tools such as OpenAI Codex, GitHub Copilot, or equivalent platform.

Professional Certifications

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

Soft Skills:

• Excellent critical-thinking and problem-solving skills

• Good communicationand collaboration skills

• Demonstrated awareness of how to function in a team setting

• Demonstrated presentation skills