AWS Data Engineer

NorthBay, LLC; Remote; AED 293,000 - 441,000; Full time

Job summary

A tech solutions company is seeking an experienced AWS Data Engineer to build and maintain cloud-based data pipelines. The role includes developing scalable batch data processing systems and utilizing AWS services like Glue, Lambda, and Redshift. Candidates should have 5-8 years of experience, strong SQL and Python skills, and a solid understanding of data warehousing concepts. This position offers a full-time contract with remote flexibility.

Qualifications

• 5-8 years of experience in data engineering or related roles.
• Hands-on experience with AWS data services and batch data processing.
• Strong SQL and Python skills required.

Responsibilities

• Develop and maintain scalable batch data pipelines on AWS.
• Implement ETL/ELT jobs using AWS Glue and Spark on EMR.
• Build and manage workflow orchestration using Apache Airflow.

Skills

AWS Glue

Amazon EMR

AWS Lambda

Apache Airflow (MWAA)

Amazon CloudWatch

Amazon Redshift

Amazon DynamoDB

AWS DataZone

SQL

Python

Job description

Overview

Job Title: AWS Data Engineer

Experience: 5–8 Years

Location: India (Remote)

Employment Type: Full-Time

Position Overview

We are looking for a skilled AWS Data Engineer to build and support cloud-based data pipelines and analytics platforms on AWS. The role focuses on hands-on development, optimization, and operational support of data processing systems.

Responsibilities

• Develop and maintain scalable batch data pipelines on AWS
• Implement ETL/ELT jobs using AWS Glue and Spark on EMR
• Build and manage workflow orchestration using Apache Airflow (MWAA)
• Develop serverless data processing functions using AWS Lambda
• Work with Amazon Redshift for data warehousing and analytics
• Implement data storage and retrieval using Amazon DynamoDB
• Use AWS DataZone for data discovery, governance, and access control
• Monitor data pipelines and system health using Amazon CloudWatch
• Troubleshoot data processing failures and performance issues
• Collaborate with analytics, reporting, and business teams
• Follow best practices for security, scalability, and cost optimization

Required Skills & Experience

• 5–8 years of experience in data engineering or related roles
• Hands-on experience with:
  • AWS Glue
  • Amazon EMR
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
• Strong SQL and Python skills
• Experience with batch data processing and data pipeline development
• Understanding of data warehousing and ETL concepts
• Experience working in Agile delivery environments

Nice to Have

• AWS Certification
• Exposure to data governance and metadata tools
• Experience with performance tuning and cost optimization on AWS