Description

You will design, build, and maintain data pipelines and systems within an AWS cloud environment.

This role is on-site.

Responsibilities

• Develop data processing logic using Python, Pandas, NumPy, and PySpark.
• Build and manage cloud infrastructure using AWS services including S3, RDS, EC2, Lambda, SQS, SNS, and Redshift.
• Write and optimize complex SQL queries for system analysis and data retrieval.
• Perform system analysis and software testing using SQL and Jira.
• Document technical requirements, system analysis, and testing results.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Strong Python development expertise with Pandas, NumPy, and PySpark.
• Proficiency in SQL and database management.
• Hands-on experience with AWS services (S3, RDS, EC2, Lambda, SQS, SNS, Redshift).
• Experience with DevOps tools including Jenkins, Bitbucket, GitLab, and Terraform.
• Competency in software testing and automation.
• Experience with Jira for task tracking and system analysis.

Preferred Skills

• AWS Cloud certification.
• Experience with Salesforce system analysis and development.

Key Skills

Education

Any Graduate