
Strategic Data Architect
2 days ago
- Design and develop high-performance data systems on AWS across the full data lifecycle.
- Lead end-to-end database migration projects from on-premises or legacy systems to AWS-managed services (RDS, Aurora, DynamoDB) with minimal downtime and data integrity assurance.
- Build, automate, and optimize ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline).
- Implement automated workflows with tools like Apache Airflow, Prefect, and AWS Step Functions to ensure reliability and scalability.
- Apply DevOps principles to data projects: CI/CD for pipelines, Infrastructure as Code (Terraform/CloudFormation), monitoring, and automated testing.
- Design and manage secure, cost-effective AWS environments with an emphasis on compliance, performance, and cost optimization.
We value collaboration, continuous learning, and innovation. If you are passionate about building robust data systems and driving innovation in cloud data solutions, this is an exciting opportunity for you.
Requirements- Data Engineering Expertise:
- Proven experience designing and automating ETL/ELT pipelines on AWS (Glue, Lambda, Step Functions).
- Hands-on experience in database migration, schema conversion, and performance tuning.
- DevOps Practices:
- CI/CD for data pipelines, containerization (Docker), Infrastructure as Code (Terraform, CloudFormation).
- Cloud & Security:
- Ability to build secure, scalable, cost-effective AWS architectures following best practices.
- Data Governance & Quality:
- Familiarity with data cataloging, lineage, and quality frameworks.
- Client-Facing Skills:
- Strong communication skills with experience in requirement gathering and delivering client-centric solutions.
- Experience with Apache Airflow or Prefect for orchestration.
- AWS certifications (e.g., Solutions Architect, Data Analytics Specialty).
- Knowledge of relational & NoSQL databases (RDS, Aurora, DynamoDB, Redshift, OpenSearch).
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