Description

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

Responsibilities

• Develop data processing scripts and complex SQL queries to manage large datasets.
• Perform system analysis and software testing using SQL, JIRA, and other diagnostic tools.
• Document technical requirements, system analysis, and test results for business decision-making.
• Automate testing processes and manage deployment workflows using DevOps tools.
• Gather and present technical information to explain complex concepts to stakeholders.

Required Skills

• 9+ years of professional experience in data engineering or related roles.
• Strong Python development skills, specifically with Pandas, NumPy, and PySpark.
• Expertise in writing and optimizing complex SQL queries.
• Hands-on experience with AWS services including S3, RDS, EC2, Lambda, SQS, SNS, and Redshift.
• Proficiency with DevOps tools such as Jenkins, Bitbucket, GitLab, and Terraform.
• Experience with system analysis and development within Salesforce and AWS Cloud.
• Ability to use MS Office for reporting and documentation.
• Strong technical communication skills for presenting ideas and answering critical questions.

Key Skills

Education

SQL , Python