Job for Cloud Data Engineer – 14375

Albany, NY (Onsite) Albany, NY (Onsite)
30 Months 30 Months
Posted on: 10/27/2025
Job Description:

We are seeking a highly skilled Cloud Data Engineer with strong experience in database architecture, SQL development, and

cloud-based data solutions. The ideal candidate will design, secure, and optimize cloud-native and hybrid databases while

ensuring data integrity, scalability, and security. This role requires deep technical expertise across AWS or GCP environments,

as well as hands-on experience in data modeling, PL/SQL programming, and database performance tuning. The engineer will

also be responsible for supporting application deployment, monitoring, and automation in modern cloud ecosystems.

Responsibilities:

· 84 months of experience in database/schema architecture, SQL coding, testing, maintenance, and debugging.

· 84 months of experience architecting secure databases using security APIs, transport/message layer security, encryption, and decryption algorithms.

· 48 months of experience with application deployment and database monitoring tools.

· 48 months of database application experience, including triggers, indexes, and stored procedures.

· 48 months of experience in a cloud environment (AWS or GCP) with hybrid infrastructure knowledge.

· 48 months of experience designing cloud-native databases using containerization, serverless, API-first, and microservices architectures.

 84 months of experience in database/schema architecture, SQL coding, testing, maintenance, and debugging.

 84 months of experience architecting secure databases using security APIs, transport/message layer security,

encryption, and decryption algorithms.

 48 months of experience with application deployment and database monitoring tools.

 48 months of database application experience, including triggers, indexes, and stored procedures.

 48 months of experience in a cloud environment (AWS or GCP) with hybrid infrastructure knowledge.

 48 months of experience designing cloud-native databases using containerization, serverless, API-first, and

microservices architectures.

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