AWS Data Engineer

Natlov Technologies Pvt Ltd; Delhi; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology company is looking for an AWS Data Engineer to design and manage scalable data solutions using AWS services. You will work with tools like Apache Airflow and Amazon Redshift, building data pipelines and optimizing workflows. Ideal for candidates with 1-2 years of relevant experience. This is a full-time role based in Delhi, India.

Qualifications

• 1–2 years of experience in data engineering or a related field.
• Familiarity with AWS services and data warehousing solutions.
• Experience in optimizing data pipelines and workflows.

Responsibilities

• Build and manage data pipelines using Airflow and AWS Glue.
• Develop and optimize data models in Amazon Redshift.
• Automate workflows using Python.
• Integrate and manage data from MySQL, Big Quarry, and other sources.
• Ensure scalability, reliability, and performance of AWS-based solutions.

Skills

Data pipeline management

AWS Glue

Apache Airflow

Python programming

Data modeling

MySQL

Tools

Amazon Redshift

AWS

Big Query

Job description

Experience

1–2 years

About the Role

We’re looking for a skilled AWS Data Engineer to design, build, and manage scalable data solutions on Amazon Web Services (AWS). You’ll work with Apache Airflow, AWS Glue, Big Quarry and Amazon Redshift to develop automated, high-performance data pipelines.

Cloud: Amazon Web Services (AWS)

Programming: Python

Data Warehouse: Amazon Redshift

Responsibilities

• Build and manage data pipelines using Airflow and AWS Glue
• Develop and optimize data models in Amazon Redshift
• Automate workflows using Python
• Integrate and manage data from MySQL ,Big Quarry and other sources
• Ensure scalability, reliability, and performance of AWS-based solutions

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

Delhi Cantonment, Delhi, India

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