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