Senior Data Engineering Specialist

4 weeks ago


Gurgaon, Haryana, India Nagarro Full time

Nagarro Job Description

Overview of Nagarro:

Nagarro is a global digital transformation company that provides innovative solutions to its clients. Our team of experts works together to deliver high-quality projects and exceed client expectations.

Salary Range:

The estimated salary for this position is between $120,000 and $180,000 per year, depending on location and experience.

Job Responsibilities:

  • Develop and design data engineering solutions that meet client requirements.
  • Collaborate with cross-functional teams to understand business needs and technical requirements.
  • Map client decisions to technical requirements and translate them into actionable plans.
  • Identify and recommend the best solution for client projects, ensuring it meets their needs.
  • Develop guidelines and benchmarks for non-functional requirements during project implementation.
  • Write and review design documents explaining overall architecture, framework, and high-level design of applications.
  • Review architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc.
  • Develop and design the overall solution for defined functional and non-functional requirements.
  • Resolving issues raised during code/review through exhaustive systematic analysis of the root cause.

Required Skills and Qualifications:

  • Bachelor's or master's degree in computer science, Information Technology, or a related field.
  • 5+ years of experience in data engineering with a strong focus on Python, Azure cloud, and data processing technologies.
  • Advanced skills in Python for data processing and automation.
  • Proficiency in using Azure cloud services for data platform development.
  • Experience with Databricks for large-scale data processing and analytics.
  • Advanced skills in writing and optimizing SQL queries.
  • Strong knowledge of data warehousing and data lake solutions.
  • Proficiency in using Apache Spark for data processing.
  • Experience in developing and deploying machine learning models.
  • Knowledge of data science principles and techniques.

Benefits:

  • Opportunity to work with a global company and collaborate with experts from different fields.
  • Chance to develop your skills and expertise in data engineering and contribute to innovative projects.
  • Competitive salary range and benefits package.
  • Ongoing training and professional development opportunities.


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