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职位Amgen

Sr Associate Software Engineer

Amgen

Sr Associate Software Engineer

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1w ago

Career Category

Information Systems:

Job Description

Let’s do this. Let’s change the world. In this vital role as Senior Associate Software Engineer at Amgen you will be responsible for designing, building, maintaining cloud applications and APIs and designing, maintaining, analyzing and interpreting data to provide actionable insights that drive business decisions. This role involves working with APIs, Cloud based apps, large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with building APIs, cloud apps, big data technologies, and a deep understanding of data architecture and ETL processes.

  • Build Rest APIs, Bulk APIs, SOAP APIs to integrate different systems

  • Strong experience with designing schema and writing postgresSQL queries and SQL queries in general

  • Solid understanding of AWS Lambda, S3 bucket upload, EMR and EC2

  • Understanding of Object model in Salesforce applications

  • Design, develop, and optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data. A knowledge of Medallion Architecture will be an added advantage

  • Build ETL pipeline with Informatica or other ETL tools

  • Support data governance and metadata management

  • Experience using static code scan tools

  • Collaborate with Data Architects, 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 challenges

  • Adhere to best practices for coding, testing, and designing reusable code/component

  • Analyze business and technical requirements and begin translating them into simple development tasks

  • Execute unit and integration tests, and contribute to maintaining software quality

  • Identify and fix bugs and defects during development or testing phases

  • Contribute to the maintenance and support of applications by monitoring performance and reporting issues

  • Use CI/CD pipelines as part of DevOps practices and assist in the release process

What we expect of you

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

Basic Qualifications:

  • Master’s/Bachelor’s degree and 4 to 8 years of Computer Science, IT or related field experience

Preferred Qualifications:

  • Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing

  • Knowledge of Python/R, REST APIs, SQL, Databricks, cloud data platforms

  • Strong understanding of data governance frameworks, tools, and best practices.

  • Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Must-Have Skills:

  • Bachelor’s or master’s degree in computer science, Data Science, or a related field.

  • Hands on experience with big data technologies and platforms, such as Databricks, REST APIs, Bulk APIs, Apache Spark (Py Spark, SparkSQL), python for workflow orchestration, performance tuning on big data processing

  • Proficiency in data analysis tools (eg. SQL)

  • Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores

  • Strong programming skills in Python, Py Spark, and SQL.

  • Familiarity with Informatica and/or other ETL tools.

  • Experience working with cloud data services (Azure, AWS, or GCP).

  • Strong understanding of data modeling, entity relationships

Professional Certifications

  • AWS Certified Data Engineer (preferred)

  • Databricks Certificate (preferred)

Soft Skills:

  • Excellent problem-solving and analytical skills

  • Strong communication and interpersonal abilities

  • High attention to detail and commitment to quality

  • Ability to prioritize tasks and work under pressure

  • Team-oriented with a proactive and collaborative mindset

  • Willingness to mentor junior developers and promote best practices

  • Adaptable to changing project requirements and evolving technology

Ready to Apply for the Job?

We highly recommend utilizing Workday's robust Career Profile feature to complete the application process. A link to update your profile is available when you click Apply. You can then complete your Workday profile in minutes with the “Upload My Experience” functionality to upload an updated copy of your resume or you can simply edit the individual sections of your Career Profile.

Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a “Partially Meets Expectations” or higher. Please visit our Internal Transfer Guidelines for more detailed information

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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

3.6

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.4

职业发展

2.8

管理层

3.5

65%

推荐给朋友

优点

Excellent benefits and health benefits

Good pay and compensation

Supportive management and strong leadership

缺点

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

薪资范围

1,244个数据点

L2

L3

L4

L5

L6

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

面试经验

5次面试

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

HR Screen

3

Hiring Manager Interview

4

Technical/Role-Specific Interview

5

Panel Interview

6

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Data Analysis/Statistics

Culture Fit