Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted today

Principal Data Engineer – Python Backend

Amgen1,907 open roles

Where
India - Hyderabad
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPrincipal Data Engineer – Python BackendAmgen · India - Hyderabad

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Amgen's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Amgen postings stay open a median of 35 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted today

Amgen median: 35 days open

The posting

Career Category

Strategy and Innovation

Job Description

Role Summary

We’re hiring a Data Engineer with Python backend development experience to build scalable data pipelines and services. The role combines data engineering with backend API development, including integrating data platforms with applications and AI agents.

The ideal candidate has hands-on experience with Python, SQL, Databricks, and Apache Spark. They should also understand REST APIs, relational and NoSQL databases, and how to improve Spark workloads for performance and scale.

Key Responsibilities

  • Design, build, and maintain data ingestion and ETL/ELT pipelines using Python, SQL, Databricks, and Spark/PySpark.
  • Integrate data from APIs, databases, files, and third-party systems.
  • Develop and maintain backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.
  • Build API integrations that allow applications and AI agents to access approved data and services.
  • Design and work with relational and NoSQL databases, including schemas, data models, and queries.
  • Optimize Spark jobs and Databricks workloads for performance, scalability, and cost.
  • Apply distributed computing principles to process large datasets reliably.
  • Implement data validation, error handling, logging, and monitoring.
  • Troubleshoot pipeline, API, and database issues in development and production environments.
  • Write tests and documentation, and participate in Git, code reviews, CI/CD, and deployment workflows.
  • Collaborate with data, backend, AI/ML, product, and application teams.

Basic Qualifications and Experience:

  • Master's OR Bachelor's degree in IT/Computer Science/Engineering. and 12 to 17 years of work experience

Required Skills

  • Strong Python development skills.
  • Strong SQL skills and experience with relational databases.
  • Hands-on experience with Databricks and Apache Spark/PySpark.
  • Experience building data pipelines and integrating data from multiple sources.
  • Experience developing or integrating REST APIs.
  • Working knowledge of NoSQL databases. Hands-on experience integrating APIs with AI agents or AI/ML applications.
  • Understanding of Spark performance optimization, scalability, and distributed systems.
  • Familiarity with Git, testing, debugging, and production support.
  • Strong problem-solving and communication skills.

Good to Have

  • Experience with FastAPI, Flask, or Django.
  • Experience with Delta Lake, Azure Data Lake, or Azure Data Factory.
  • Familiarity with Airflow, Kafka, Docker, or Kubernetes.
  • Experience with authentication and authorization for APIs.
  • Experience supporting GenAI or machine learning data pipelines.

Preferred Candidate Profile

We’re looking for someone who can work across the data and backend layers: ingest and transform data, store it in suitable relational or NoSQL systems, and expose it through APIs for applications or AI agents.

The candidate should be able to design, build, optimize, test, and support a solution such as:

Source systems → Databricks/Spark processing → relational or NoSQL storage → Python API → application or AI agent

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 an accommodation.

.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Amgen's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Amgen's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Amgen's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.