Cloud Data Engineer (Data & Cloud Infrastructure/Data Platform)
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- Data engineer with prior expertise in on end-to-end data pipeline development and enterprise cloud ecosystem integration with proven, dual expertise in core data engineering AND direct, hands‑on production experience in cloud infrastructure environment management.
- Advanced proficiency in Python, SQL, and Apache Spark (or equivalent Big Data frameworks) combined with production‑level ETL/ELT pipeline design.
- Designing and maintaining monthly high-volume data ingestion feeds, optimizing cross‑platform data transfers, and managing enterprise‑grade infrastructure security, scalability, and resource allocation.
- Deep, hands‑on practical experience configuring, deploying, and managing AWS cloud infrastructure services (IAM, VPC networking, EC2/EMR provisioning, S3 security policies, and serverless compute)/AWS ecosystem, vector databases (for AI/analytics pipelines), and Enterprise Data Platform (EDP) integration frameworks.