Data Engineer

Natlov Technologies Pvt Ltd; Delhi; On-site; INR 600,000 - 1,000,000; Full time

Job summary

A tech company in Delhi is seeking a Cloud Data Engineer. This role requires strong AWS expertise and experience with Azure. You will design and optimize scalable data pipelines using tools like Airflow, AWS Glue, and Databricks. Ideal candidates should have 1–2 years of experience and a deep knowledge of data modeling and warehousing. This full-time position offers an exciting opportunity to tackle complex cloud data challenges and build reliable data systems.

Qualifications

• 1–2 years of experience in Cloud Data Engineering.
• Strong expertise in AWS and working experience in Azure.
• Ability to architect reliable data systems.

Responsibilities

• Build and automate ETL/ELT pipelines across AWS & Azure.
• Develop optimized data models in Redshift and Azure Synapse.
• Integrate data from multiple cloud and database sources.
• Ensure reliability, security, and scalability of data systems.
• Work with Databricks for big data processing.

Skills

Snowflake

Stored procedure

Excel analysis

Data modelling

Data Warehousing: Redshift, Azure Synapse

Programming: Python

Job description

Overview

Natlov Technologies Pvt. Ltd is looking for a Cloud Data Engineer with strong AWS expertise and working experience in Azure. In this role, you will design, build, and optimize scalable data pipelines across multi-cloud environments using tools like Airflow, AWS Glue, Azure Data Factory, Databricks, BigQuery, and Redshift. If you enjoy architecting reliable data systems and solving complex cloud data challenges, this opportunity is for you.

Experience

1–2 years

Key Skills

• Snowflake - Strong
• Stored procedure - Strong
• Excel analysis
• Data modelling - Deep knowledge
• Data Warehousing: Redshift, Azure Synapse (Snowflake is a plus)
• Programming: Python

What You’ll Do

• Build and automate ETL/ELT pipelines across AWS & Azure
• Develop optimized data models in Redshift and Azure Synapse
• Integrate data from multiple cloud and database sources
• Ensure reliability, security, and scalability of data systems
• Work with Databricks for Spark-based big data processing

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting