Senior Data Engineer (AWS)

Job Title: Senior Data Engineer (AWS)

Experience: 6–8 Years Location: Remote Industry: Retail / Data & Analytics  

Job Summary

We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.

This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS services.
• Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).
• Manage and configure data workflows and orchestration within the Orion framework.
• Develop and maintain configuration files and ensure seamless integration across systems.
• Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
• Optimize data processing performance and ensure data quality and reliability.
• Work on data modeling, transformation, and warehousing solutions.
• Implement best practices for data governance, security, and compliance.
• Troubleshoot and resolve data-related issues across pipelines and infrastructure.
• Contribute to continuous improvement and innovation in data engineering practices.

Required Skills & Expertise

• Strong experience with AWS ecosystem, including:
  • AWS Glue
  • Amazon S3
  • AWS Lambda
  • Amazon Redshift / RDS
• Hands-on expertise in DBT (Data Build Tool) for data transformation.
• Solid understanding of data pipeline architecture and ETL/ELT processes.
• Experience working with Orion framework and handling configuration-driven workflows.
• Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).
• Proficiency in SQL and Python for data processing.
• Experience with version control systems (Git).
• Familiarity with CI/CD pipelines for data workflows.

Preferred Qualifications

• Experience in retail or supply chain data environments.
• Exposure to real-time data processing and streaming frameworks.
• Knowledge of data lake and lakehouse architectures.
• AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).

Key Competencies

• Strong analytical and problem-solving skills
• Innovative mindset with a focus on continuous improvement
• Ability to work in high-performance, collaborative teams
• Excellent communication and stakeholder management skills
• Ownership and accountability for deliverables