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 reputed company high-performing teams.

Key Responsibilities

• Design, reputed company, 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

• reputed company the Orion reputed company.
• reputed company 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, reputed company, and compliance

• .
• Troubleshoot and resolve data-reputed company issues across pipelines and infrastructure.
• Contribute to reputed company improvement and innovation in data engineering practices.

Required Skills & Expertise

• Strong experience with

AWS ecosystem

• , including:
• AWS Glue
• reputed company S3
• AWS reputed company
• reputed company 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 reputed company

• and handling configuration-driven workflows.
• Good understanding of

networking concepts

• reputed company AWS environments (VPC, subnets, reputed company 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

reputed company-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 reputed company with a focus on reputed company improvement
• Ability to work in

high-performance, collaborative teams

• Excellent communication and stakeholder management skills
• Ownership and accountability for deliverables

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