AWS Data Engineer

Key Responsibilities

Data Platform Design & Delivery

• Design and develop modern cloud-based data platforms leveraging AWS services.
• Build and maintain data ingestion transformation and analytics pipelines.
• Support batch processing streaming and near real-time data integration requirements.
• Enable scalable analytics business intelligence and downstream data consumption solutions.

Architecture & Platform Governance (Architect-Level Focus)

• Define and maintain enterprise-level data platform architecture standards on AWS.
• Design scalable data lake lakehouse and data warehouse environments.
• Establish standards for data ingestion modeling governance and access management.
• Ensure solutions align with security networking identity management and cost optimization best practices.
• Provide technical leadership and architectural oversight across delivery teams.

Data Engineering & Analytics

• Develop and optimize ETL/ELT pipelines data models and reporting datasets.
• Implement data quality metadata management and data lineage practices.
• Support advanced analytics and AI/ML workloads where applicable.

Operations Security & Optimization

• Implement monitoring performance tuning and cost management controls.
• Apply governance and security standards aligned with enterprise policies.
• Support CI/CD processes environment management and platform lifecycle activities.
• Maintain technical documentation operational procedures and platform standards.

Stakeholder Collaboration

• Work closely with business stakeholders analysts engineers and data teams.
• Provide guidance on AWS data services architecture decisions and implementation trade-offs.
• Support mentoring and knowledge sharing within the team particularly at senior levels.

Qualifications & Experience

Technical Skills

• Strong experience with AWS data and analytics technologies.
• Hands-on expertise with data lakes data warehouses and lakehouse architectures.
• Strong SQL and data modeling capabilities.
• Experience with both batch and streaming data processing.
• Understanding of cloud security IAM governance and cloud cost optimization practices

Experience Requirements
AWS Architect
10 years of experience in data and analytics.
Extensive experience designing large-scale AWS data platforms.
Strong background in cloud architecture data strategy and enterprise solution design.

AWS Consultant
6 years of experience in data and analytics delivery.
Proven experience implementing modern data platforms on AWS.
Strong stakeholder engagement and solution delivery experience.

AWS Developer
4 years of experience in data and analytics.
Hands-on experience developing solutions using AWS data services.
Strong focus on implementation development and technical delivery.

Preferred Certifications

• AWS Certified Data Analytics Specialty
• AWS Certified Solutions Architect (Associate or Professional)
• AWS Certified Machine Learning Specialty (preferred)