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Amgen
Amgen

Multinational biopharmaceutical company.

Data Engineer

职能数据工程
级别中级
地点Hyderabad, India
方式现场办公
类型全职
发布2个月前
立即申请

福利待遇

医疗保险

401k

弹性工作

必备技能

Databricks

PySpark

SparkSQL

Apache Spark

SQL

Python

AWS

Scala

ETL

Data modeling

Career Category

Information Systems:

Job Description

Join Amgen’s Mission of Serving Patients:

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Let’s do this. Let’s change the world. In this vital role you will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management.

  • Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using Py Spark, Scala, and SQL to process large-scale datasets

  • Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems

  • Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments

  • Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms

  • Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring

  • Expert in data quality, data validation and verification frameworks

  • Innovate, explore and implement new tools and technologies to enhance efficient data processing

  • Proactively identify and implement opportunities to automate tasks and develop reusable frameworks

  • Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value

  • Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories

  • Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle

  • Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks.

Basic Qualifications:

  • Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR

  • Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR

  • Diploma and 7 to 9 years of Computer Science, IT or related field experience

  • Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies

  • Proficiency in workflow orchestration, performance tuning on big data processing

  • Strong understanding of AWS services

  • Ability to quickly learn, adapt and apply new technologies

  • Strong problem-solving and analytical skills

  • Excellent communication and teamwork skills

  • Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices

Preferred Qualifications:

  • AWS Certified Data Engineer preferred

  • Databricks Certificate preferred

  • Scaled Agile SAFe certification preferred

  • Data Engineering experience in Biotechnology or pharma industry

  • Experience in writing APIs to make the data available to the consumers

  • Experienced with SQL/NOSQL database, vector database for large language models

  • Experienced with data modeling and performance tuning for both OLAP and OLTP databases

  • Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps

Soft Skills:

  • Excellent analytical and troubleshooting skills.

  • Strong verbal and written communication skills

  • 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.

  • Ability to learn quickly, be organized and detail oriented.

  • Strong presentation and public speaking skills.

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 and make a lasting impact with the Amgen team. 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.

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关于Amgen

Amgen

Amgen

Public

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

员工数

Thousand Oaks

总部位置

$138B

企业估值

评价

24条评价

3.6

24条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

3.1

职业发展

2.8

管理层

3.4

65%

推荐率

优点

Excellent benefits and health benefits

Good pay and compensation

Supportive management and leadership

缺点

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

薪资范围

1,002个数据点

L2

L6

L3

L4

L5

L2 · Financial Analyst L2

0份报告

$94,068

年薪总额

基本工资

$37,627

股票

$47,034

奖金

$9,407

$65,848

$122,288

面试评价

5条评价

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Final Round/Panel Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Culture Fit