Description

You will design and develop data pipelines and systems within an AWS environment.

Responsibilities

• Develop data processing applications using Python, Pandas, NumPy, and PySpark.
• Perform system analysis and software testing using SQL and Jira.
• Document technical requirements, system analysis, and testing results.
• Manage infrastructure and deployment using DevOps tools and Terraform.
• Present technical concepts and data findings to stakeholders clearly.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong Python development skills including Pandas, NumPy, and PySpark.
• Advanced SQL query proficiency for data analysis and testing.
• Hands-on experience with AWS services: S3, RDS, EC2, Lambda, SQS, SNS, and Redshift.
• Proficiency with DevOps tools including Jenkins, Bitbucket, GitLab, and Terraform.
• Experience with system analysis and software testing workflows.
• Ability to use MS Office for reporting and documentation.
• Experience with Salesforce and AWS Cloud development or certification.

Key Skills

Education

Any Graduate