Senior AWS Data Engineer

About the role

Design, develop, and optimize data ingestion programs to process large datasets in batch mode using AWS services such as Glue, Lambda, S3, Redshift, and Databricks.

Responsibilities

• Implement advanced SQL queries with query optimization techniques to enhance data retrieval and reporting efficiency.
• Work with large-scale data platforms, ensuring robust and scalable cloud solutions in AWS infrastructure.
• Collaborate with cross-functional teams to develop data architecture and modeling strategies aligned with business needs.
• Maintain a strong understanding of security principles, IAM roles, and AWS infrastructure to ensure data protection and compliance.

Requirements

• Hands-on programming experience in Python and PySpark for data processing tasks.
• Advanced SQL skills with a focus on query optimization techniques.
• Deep understanding of AWS cloud services, distributed computing paradigms, and infrastructure management.
• Experience working with large-scale data platforms and cloud solutions in AWS.
• Knowledge of DevOps pipelines using Jenkins and GitLab, with strong data modeling and architecture skills.

Benefits

• Opportunity to work on cutting-edge cloud data solutions in a forward-thinking organization.
• Collaborate with talented professionals in a supportive and inclusive environment.
• Engage in continuous learning and professional development opportunities.
• Be part of impactful projects that drive business success and innovation.
• Travel coverage provided if relocation or onsite visits are required.
• Upon completion of waiting period, consultants are eligible for: Medical and Prescription Drug Plans, Dental Plan, Vision Plan, Health Savings Account, Health Flexible Spending Account, Dependent Care Flexible Spending Account, Supplemental Life Insurance, Short Term and Long Term Disability Insurance, Business Travel Insurance, 401(k) Plus Match.
• Weekly Pay