Data Engineer / Senior Data Engineer

N Human Resources & Management Systems; Dehradun; On-site; INR 900,000 - 1,800,000; Full time

Job summary

N Human Resources & Management Systems in India is seeking Data Engineers / Senior Data Engineers to join a Data & Analytics consultancy working on enterprise-scale Big Data, Cloud and Analytics solutions.

The role involves designing and implementing data solutions with clients and senior stakeholders; strong communication and problem-solving skills are essential.

Qualifications

• 3–8 years of relevant experience.
• Practical cloud implementation experience.
• Strong Python, Spark and SQL skills.
• Good communication and client-facing skills.
• Ability to work independently with remote teams.
• Notice period of 30 days or less

Responsibilities

• Develop data solutions within Big Data and cloud environments.
• Work with diverse datasets for Data Science and Analytics teams.
• Build and design data architectures using Azure Data Factory, Databricks, Data Lake and Synapse.
• Perform data mapping and transformation activities.
• Develop data integration and transformation solutions.
• Support KPI and reporting requirements.
• Collaborate with CTOs, Product Owners and Operations teams.
• Maintain technical documentation and knowledge bases

Skills

Python

Spark/PySpark

Hadoop

SQL

Git

Databricks

Data Integration

Transformation

Cloud

Container

Microservice Infrastructure

Job description

N Human Resources & Management Systems | Full time

Notice Period: 30 days or less; immediate joiners preferred

About the Role

We are looking for Data Engineers / Senior Data Engineers to join a Data & Analytics consulting team working on enterprise-scale Big Data, Cloud and Analytics solutions.

The role involves working directly with clients and senior stakeholders to design and implement data and analytics solutions. Strong communication, problem-solving and organizational skills are essential.

Key Technical Skills

• Python
  
• Spark / PySpark
  
• Hadoop
  
• SQL
  
• Git
  
• Databricks
  
• Data Integration & Transformation
  
• Cloud, container and microservice infrastructure
  

Responsibilities

• Develop data solutions within Big Data and cloud environments
  
• Work with diverse datasets for Data Science and Analytics teams
  
• Build and design data architectures using Azure Data Factory, Databricks, Data Lake and Synapse
  
• Perform data mapping and transformation activities
  
• Develop data integration and transformation solutions
  
• Support KPI and reporting requirements
  
• Collaborate with CTOs, Product Owners and Operations teams
  
• Maintain technical documentation and knowledge bases
  

Requirements

• 3–8 years of relevant experience
  
• Practical cloud implementation experience
  
• Strong Python, Spark and SQL skills
  
• Good communication and client-facing skills
  
• Ability to work independently with remote teams
  
• Notice period of 30 days or less