
Cloud Native Data Architect
3 days ago
As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines and data products, as well as develop and optimize ELT/ETL processes using a variety of tools and technologies. You will also support and evolve data models that drive operational and analytical workloads, and modernize legacy Oracle-based systems and migrate workloads to cloud-native platforms.Required Skills and Qualifications:
- 7+ years of experience in data 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 Infrastructure as Code (Terraform).
- Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitHub Actions).
This role offers the opportunity to work on cutting-edge technology and contribute to the development of innovative data solutions. As a Senior Data Engineer, you will be part of a dynamic team that values collaboration, continuous learning, and professional growth.
Others:Preference will be given to candidates with experience working with Google Cloud Platform (GCP) or Snowflake, as well as knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
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