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