Associate Data Engineer

9w2 months ago

Amgen

Hyderābād, IN · Full-time · INR 800,000 – INR 1,500,000

About this role

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, making lives easier, fuller, and longer. As part of the cybersecurity organization, the Associate Data Engineer designs, builds, and maintains data infrastructure to support data-driven decision-making with large datasets and reports.

The role focuses on developing data pipelines, executing ETL processes for data quality, migration, and deployment across systems. Schedule and manage workflows to ensure pipelines run on time and are monitored for failures. Maintain data models, dictionaries, and documentation for accuracy and consistency.

Collaborate with cross-functional teams to understand data requirements and design solutions meeting business needs. Work with data scientists and product teams to develop pipelines for dynamic needs. Share and discuss findings with team members.

Leverage cloud platforms like AWS to build scalable data solutions. Implement data security and privacy measures to protect sensitive data. Join a cutting-edge biotech leader pushing innovation with technology and human genetic data.

Requirements

Strong technical skills in data engineering
Experience with big data technologies
Deep understanding of data architecture
Proficiency in ETL processes
Knowledge of cybersecurity data frameworks
Experience working with large datasets
Ability to develop reports and execute data governance initiatives
Familiarity with cloud platforms, preferably AWS

Responsibilities

Design, develop, and maintain data solutions for data generation, collection, and processing
Assist 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
Schedule and manage workflows to ensure pipelines run on schedule and are monitored for failures
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 preferred) to build scalable and efficient data solutions