トレンド企業

Amgen
Amgen

Multinational biopharmaceutical company.

Master Data Management Data Architect

職種データエンジニアリング
経験ミドル級
勤務地Hyderabad, India
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

福利厚生

健康保険

401k

フレックスタイム

必須スキル

AWS

SQL

Data Architecture

ETL

Master Data Management

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 for designing, building, maintaining, analyzing, and interpreting data deliver actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives, and visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills and provides administration support for Master Data Management (MDM) and Data Quality platform, including solution architecture, inbound/outbound data integration (ETL), Data Quality (DQ), and maintenance/tuning of match rules.

Roles & Responsibilities:

  • Design, develop, and maintain data solutions for data generation, collection, and processing
  • Collaborate and communicate with MDM Developers, Data Architects, Product teams, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
  • Identify and resolve complex data-related challenges
  • Adhere to standard processes for coding, testing, and designing reusable code/component
  • Participate in sprint planning meetings and provide estimations on technical implementation
  • As a SME, work with the team on MDM related product installation, configuration, customization and optimization
  • Responsible for the understanding, documentation, maintenance, and additional creation of master data related data-models (conceptual, logical, and physical) and database structures
  • Review technical model specifications and participate in data quality testing
  • Collaborate with Data Quality & Governance Analyst and Data Governance Organization to monitor and preserve the master data quality
  • Create and maintain system specific master data data-dictionaries for domains in scope
  • Architect MDM Solutions, including data modeling and data source integrations from proof-of-concept through development and delivery
  • Develop the architectural design for Master Data Management domain development, base object integration to other systems and general solutions as related to Master Data Management
  • Develop and deliver solutions individually or as part of a development team
  • Approves code reviews and technical work
  • Maintains compliance with change control, SDLC and development standards
  • Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions
  • Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs
  • Implement data security and privacy measures to protect sensitive data
  • Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

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.

Preferred Qualifications:

  • Expertise in architecting and designing Master Data Management (MDM) solutions.
  • Practical experience with AWS Cloud, Databricks, Apache Spark, workflow orchestration, and optimizing big data processing performance.
  • Familiarity with enterprise source systems and consumer systems for master and reference data, such as CRM, ERP, and Data Warehouse/Business Intelligence.
  • At least 2 to 3 years of experience as an MDM developer using Informatica MDM or Reltio MDM, along with strong proficiency in SQL.

Good-to-Have Skills:

  • Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development.
  • Good understanding of data modeling, data warehousing, and data integration concepts.
  • Experience with development using Python, React JS, cloud data platforms.
  • Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments).

Soft Skills:

  • Excellent critical-thinking and problem-solving skills
  • Good communication and collaboration skills
  • Demonstrated awareness of how to function in a team setting
  • Team-oriented, with a focus on achieving team goals
  • 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 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.

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Amgenについて

Amgen

Amgen

Public

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

10,001+

従業員数

Thousand Oaks

本社所在地

$138B

企業価値

レビュー

24件のレビュー

3.6

24件のレビュー

ワークライフバランス

3.2

報酬

3.5

企業文化

3.1

キャリア

2.8

経営陣

3.4

65%

知人への推奨率

良い点

Excellent benefits and health benefits

Good pay and compensation

Supportive management and leadership

改善点

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

給与レンジ

1,002件のデータ

L2

L6

L3

L4

L5

L2 · Financial Analyst L2

0件のレポート

$94,068

年収総額

基本給

$37,627

ストック

$47,034

ボーナス

$9,407

$65,848

$122,288

面接レビュー

レビュー5件

難易度

3.0

/ 5

期間

14-28週間

内定率

40%

体験

ポジティブ 20%

普通 80%

ネガティブ 0%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Final Round/Panel Interview

6

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study

Culture Fit