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Amgen
Amgen

Multinational biopharmaceutical company.

Sr. Associate Data Engineer

직무데이터 엔지니어링
경력시니어급
위치Hyderabad, India
근무오피스 출근
고용정규직
게시2개월 전
지원하기

필수 스킬

Python

SQL

AWS

Git

GCP

Azure

Spark

Airflow

Career Category

Information Systems:

Job Description Data Engineer Role Name: Data Engineer

Department Name:Role GCF: 4

Hiring Manager Name: Sriram Gopal Ramesh Narayanan

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s 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.

ABOUT THE ROLERole Description:

We seek a skilled Data Engineer to build and optimize our data infrastructure. As a key contributor, you will collaborate closely with cross-functional teams to design and implement robust data pipelines that efficiently extract, transform, and load data into our AWS-based data lake and data warehouse. Your expertise will be instrumental in empowering data-driven decision making through advanced analytics and predictive modeling.

Roles & Responsibilities:

  • Building and optimizing data pipelines, data warehouses, and data lakes on the AWS and Databricks platforms.
  • Managing and maintaining the AWS and Databricks environments.
  • Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring.
  • Maintain system uptime and optimal performance
  • Working closely with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Exploring and implementing new tools and technologies to enhance ETL platform performance.

Functional Skills:Must-Have Skills:

  • Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and columnar data stores. Proven ability to optimize query performance on big data platforms.
  • Proficient in leveraging Python, Py Spark, and Airflow to build scalable and efficient data ingestion, transformation, and loading processes.
  • Ability to learn new technologies quickly. Strong problem-solving and analytical skills. Excellent communication and teamwork skills.

Good-to-Have Skills:

  • 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 Apache Spark, Apache Airflow
  • 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 Dev Ops
  • Experienced with AWS, GCP or Azure cloud services

Education and Professional Certifications

  • Bachelor’s degree in computer science and engineering preferred, other Engineering field is considered
  • AWS Certified Data Engineer preferred
  • Databricks Certificate preferred

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
  • Strong presentation and public speaking skills.

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with 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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Amgen 소개

Amgen

Amgen

Public

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

10,001+

직원 수

Thousand Oaks

본사 위치

$138B

기업 가치

리뷰

24개 리뷰

3.6

24개 리뷰

워라밸

3.2

보상

3.5

문화

3.1

커리어

2.8

경영진

3.4

65%

지인 추천률

장점

Excellent benefits and health benefits

Good pay and compensation

Supportive management and leadership

단점

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

연봉 정보

1,002개 데이터

L2

L6

L3

L4

L5

L2 · Financial Analyst L2

0개 리포트

$94,068

총 연봉

기본급

$37,627

주식

$47,034

보너스

$9,407

$65,848

$122,288

면접 후기

후기 5개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Final Round/Panel Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Culture Fit