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220 Nagarro Jobs

Senior Staff Engineer (Big Data)

8-10 years

₹ 20 - 40L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Pune

1 vacancy

Senior Staff Engineer (Big Data)

Nagarro

posted 23d ago

Job Role Insights

Flexible timing

Job Description

👋🏼We're Nagarro.


We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000 experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!


REQUIREMENTS:


  • 8+ years of professional experience in data engineering or related roles.
  • Expertise in AWS cloud services, with hands-on experience in managing and deploying scalable data solutions.
  • Proficiency in Databricks and Spark for big data processing.
  • Strong programming skills in Python, including libraries especially PySpark.
  • Experience with data modeling, data warehousing, and working with structured and unstructured data.
  • Familiarity with data engineering frameworks and tools.
  • Understanding of retail domain concepts and the ability to align data solutions with retail-specific use cases.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.
  • Preferred Skills:
  • Experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Knowledge of CI/CD pipelines for data workflows.
  • Exposure to machine learning pipelines and analytics tools.
  • Certification in AWS or Databricks is a plus.

RESPONSIBILITIES:


  • Design, develop, and optimize scalable data pipelines and ETL processes for large-scale data systems.
  • Build and maintain data architectures on AWS using services such as S3, Redshift, PySpark, Lambda, and Spark SQL.
  • Implement and manage data solutions using Databricks, including Spark-based transformations and workflows.
  • Develop and maintain robust, reusable, and efficient code using Python.
  • Collaborate with cross-functional teams to understand business requirements and deliver data solutions tailored to the retail domain.
  • Ensure data integrity, security, and governance across all platforms.

Employment Type: Full Time, Permanent

Read full job description

Nagarro Interview Questions & Tips

Prepare for Nagarro Senior Staff Engineer roles with real interview advice

Top Nagarro Senior Staff Engineer Interview Questions

Q1. Crazy Numbers Pattern Challenge Ninja enjoys arranging numbers in a sequence. He plans to arrange them in 'N' rows such that: The first row ... read more
Q2. String Compression Problem Statement Ninja needs to perform basic string compression. For any character that repeats consecutively more tha ... read more
Q3. Write a program: two input, one is N(any integer, lets say 3), second input will be array of integers(duplicate/multiple occurrences of same ... read more
View all 471 questions

What people at Nagarro are saying

4.0
 Rating based on 110 Senior Staff Engineer reviews

Likes

Projects are of good quality, Open work culture.

  • Salary - Good
  • +3 more
Dislikes

They have limited number of clients due to which getting a project is very difficult if you are on bench. The process of project allocation need to be improvised

Read 110 Senior Staff Engineer reviews

Senior Staff Engineer salary at Nagarro

reported by 723 employees with 8-13 years exp.
₹13.5 L/yr - ₹44.4 L/yr
18% less than the average Senior Staff Engineer Salary in India
View more details

What Nagarro employees are saying about work life

based on 4.1k employees
87%
95%
81%
98%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Nagarro Benefits

Submitted by Company
Comfortable work environment
Job bike
Training and Development
Attractive Employee Discounts
Precautionary offers
Company Car +2 more
Submitted by Employees
Work From Home
Health Insurance
Soft Skill Training
Cafeteria
Job Training
Gymnasium +6 more
View more benefits

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