Data Engineer

Data Engineer

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

What you will do

Roles & Responsibilities:

• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
• Take ownership of data pipeline projects from inception to deployment, managing scope, timelines, and risks.
• Ensure data quality and integrity through rigorous testing and monitoring.
• Leverage cloud platforms (AWS, Databricks preferred) to build scalable and efficient data solutions.
• Work closely with data analysts, data scientists, and business collaborators to understand data requirements.
• Identify and resolve complex data-related challenges.
• Adhere to data engineering practices and standards.
• Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
• Familiarity with code versioning using GIT, Jenkins and code migration tools.
• Exposure to Jira or Rally.
• Identifying and implementing opportunities for automation and CI/CD.
• Help define guidelines, standards, strategies, security policies and change management policies to support the Data Lake
• Automate and Optimize data pipeline and framework for easier and cost-effective development process.
• Stay up to date with the latest data technologies and trends.

What we expect of you

Basic Qualifications and Experience:

• Master’s degree in computer science or engineering field and 4 to 6 years of relevant experience OR
• Bachelor’s degree in computer science or engineering field and 6 to 8 years of relevant experience OR
• Diploma in computer science and Minimum of 10+ years of relevant work experience

Must-Have Skills:

• Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP)
• Proficiency in Python, PySpark, SQL. Hands on experience with ETL performance tuning.
• Development knowledge in Databricks.
• Good analytical and problem-solving skills to address sophisticated data challenges.
• Experience building Bigdata pipelines; Hands-on experience with SQL
• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experience working with Apache Spark or Pyspark, Apache Airflow, and Databricks
• Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops

Good-to-Have Skills:

• Experience in SQL/NOSQL database, vector database for large language models
• Experience with AWS services:EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena
• Understanding of relational/ dimensional data modeling techniques
• Experience with timely engineering, model fine tuning
• Ability to work in a startup-like environment with little supervision
• Ability to effectively present information for all levels, and respond to questions from managers, clients, and customers
• AWS Certified Data Engineer
• Databricks Certification
• SAFe Agile certification

Soft Skills:

• Excellent analytical and solve skills
• Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong problem-solving and analytical skills.
• Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.