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Data Engineer

Avis Budget

Data Engineer

Avis Budget

IND - Bangalore - Embassy Tech Village

·

On-site

·

Full-time

·

5d ago

Experience : -3-5 Years

Location : -Bangalore (Embassy Tech Village)

Roles & Responsibilities : -

  • Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager.
  • Creating servers, databases, and datasets for functionality as needed.
  • Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook).
  • Ensuring conformance with security protocols and markings on sensitive data sets.
  • Ensuring responsiveness of web applications developed on low code/no code solutions.
  • Ensuring cross-platform optimization for mobile phones.
  • Seeing through projects from conception to finished product.
  • Meeting both technical and customer needs.
  • Staying abreast of developments in web applications and programming languages.
  • Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB, and JavaScript preferred.
  • Proficiency with server-side languages for structured data processing; Python, Py Spark, Java, Apache Spark, and Spark SQL preferred.

Bangalore

Karnataka

India

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About Avis Budget

Avis Budget

Parent company.

10,001+

Employees

Parsippany

Headquarters

Reviews

2.1

5 reviews

Work Life Balance

2.3

Compensation

2.7

Culture

4.2

Career

2.8

Management

3.0

Pros

Great coworkers and team environment

Company benefits and perks

Job stability

Cons

Low pay and compensation issues

Long hours and poor work-life balance

Limited growth opportunities

Salary Ranges

1,013 data points

Junior/L3

Senior/L5

Junior/L3 · Business Insights Analyst

8 reports

$103,500

total / year

Base

$90,000

Stock

-

Bonus

-

$92,000

$104,478

Interview Experience

2 interviews

Difficulty

2.5

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Contact

3

Initial Interview

4

Final Interview with Leadership

5

Offer Decision

Common Questions

Behavioral/STAR

Past Experience

Culture Fit

Role-Specific Skills

Customer Service Scenarios