Senior Engineer, Data Engineering
5 hours ago
Data Engineering & Architecture
Design, build, and maintain scalable data pipelines and data products .
Develop and optimize ELT/ETL processes using a variety of tools and technologies.
Support and evolve data models that drive operational and analytical workloads.
Modernize legacy Oracle-based systems and migrate workloads to cloud-native platforms .
Cloud Development & DevOps (AWS-Focused)
Build, deploy, and manage cloud-native data solutions using AWS services (e.g., S3, Lambda, Glue, EMR, Redshift, Athena, Step Functions ).
Monitor and optimize cloud infrastructure for performance, cost, and security .
Ensure scalability, resilience, and compliance of AWS-based data platforms.
Contribute to the data platform modernization roadmap and support new product delivery.
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., Experience with Google Cloud Platform (GCP) or Snowflake .
Docker, Kubernetes).
Experience with modern orchestration frameworks (e.g., Exposure to data cataloging, governance, and quality tools .
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