Senior Associate Data Engineer

Amgen Technology Private Limited; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Amgen Technology Private Limited is seeking a Sr Associate Data Engineer to join the Global Supply Chain Analytics team in Hyderabad. You will design, implement, and maintain data solutions, pipelines, and dashboards, applying ETL and data quality practices to enable reliable business insights.

The role requires strong skills in PySpark, Python/R, SQL, and data visualization, with cloud experience (AWS) and governance awareness to support regulatory documentation and annual reviews.

Qualifications

• Master’s/Bachelor’s/Diploma in CS/IT with 5–8 years relevant experience.
• Strong knowledge of big data and ETL processes.
• Experience with data pipelines and data quality.
• Familiarity with governance and documentation practices.

Responsibilities

• Design, develop, and maintain data solutions for data generation and processing.
• Build data pipelines and ensure data quality through ETL across systems.
• Create dashboards and insights using Tableau or Power BI.
• Develop data models and dictionaries to ensure accuracy.
• Leverage AWS to build scalable data solutions.
• Collaborate with data engineers on data cleansing and analytics.
• Support regulatory documentation and process documentation.

Skills

Big data analytics

PySpark / SparkSQL

Python / R for EDA

SQL

Data visualization

Data governance

Cloud (AWS)

Feature engineering

Education

Master's degree in CS/IT

Bachelor's degree in CS/IT

Diploma in CS/IT

Tools

Databricks

SparkSQL

Tableau

Power BI

Python

R

SQL

Matplotlib/Seaborn

Job description

Sr Associate Data Engineer Career Category Information Systems Job Description Role Description: This role is a key part of Amgen’s Global Supply Chain Analytics team, developing data and AI-driven solutions for customer service. Responsibilities include designing, building, and managing data, analyzing it for actionable insights, creating reports, supporting data governance, and visualizing information to ensure reliable and efficient data management. The ideal candidate has strong technical skills, experience with big data, and a solid understanding of data architecture and ETL processes.

Roles & Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing
• Be a key team member that assists in design and development of the data pipeline
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
• Contribute to the creation of metric dashboards, self-serve analytics, and business insights using Tableau or Power BI
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
• Adhere to best practices for coding, testing, and designing reusable code/component
• Exploratory data analysis, understand business knowledge, do feature engineering
• Support generation of annual product review documents, regulatory inspections, and process documentation
• Work with data engineers on data quality assessment, data cleansing and data analytics

Basic Qualifications and Experience

• Master’s degree and 5 to 8 years of Computer Science, IT or related field experience OR Bachelor’s degree and 5 to 8 years of Computer Science, IT or related field experience OR Diploma and 5 to 8 years of Computer Science, IT or related field experience

Functional Skills: Must-Have Skills

• Hands on experience with big data technologies and platforms, such as Databricks (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
• Hands on experience with various Python/R packages for EDA, feature engineering and machine learning model training
• Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
• Proficiency with data visualization platforms like Tableau, Power BI, or matplotlib/seaborn for Python
• Excellent problem-solving skills and the ability to work with large, complex datasets

Functional Skills: Good-to-Have Skills

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development
• Strong understanding of data modeling, data warehousing, and data integration concepts
• Interest in GenAI/LLM technology and building data products that support natural language interfaces

Professional Certifications : Certified Data & Analytics professional

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 . Experience Level Mid Level