
Expert Data Architectural Leader
9 hours ago
We're seeking an experienced Senior Cloud Engineer with expertise in designing, building and optimizing large-scale data pipelines and architectures.
This role is crucial to the development of new data products and modernizing existing platforms. As a seasoned cloud engineer, you'll serve as a key expert, mentoring and guiding other engineers to enhance their cloud skillsets.
Key Responsibilities:
- Design and build scalable data pipelines and data products using cloud-native services.
- Develop and optimize ETL/ELT processes using various tools and technologies.
- Support and evolve data models that drive operational and analytical workloads.
- Modernize legacy systems and migrate workloads to cloud-native platforms.
Cloud Engineering & DevOps
- Build, deploy and manage cloud-native solutions using AWS services such as S3, Lambda, Glue, EMR, Redshift, Athena and Step Functions.
- Implement CI/CD pipelines and Infrastructure as Code (IaC) using Terraform and CloudFormation.
- Monitor and optimize cloud infrastructure for performance, cost and security.
- Ensure scalability, resilience and compliance of AWS-based data platforms.
Cross-functional Collaboration
- Partner with product managers, analysts and engineers to deliver end-to-end solutions.
- Contribute to the data platform modernization roadmap and support new product delivery.
What We're Looking For
Requirements:
- 7+ years of experience in cloud engineering or equivalent technical role.
- 5+ years of hands-on AWS Cloud Development & DevOps experience.
- Strong expertise in SQL, data modeling and ETL/ELT pipelines.
- Deep experience with Oracle (PL/SQL, performance tuning, data extraction).
- Proficiency in Python for data processing tasks.
- Strong knowledge of cloud infrastructure (networking, security, cost optimization).
- Experience with IaC (Terraform).
- Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitHub Actions).
Desirable Skills:
- Experience with Google Cloud Platform (GCP) or Snowflake.
- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience with modern orchestration frameworks (e.g., Airflow, dbt).
- Exposure to data cataloging, governance and quality tools.
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