Data Engineer | NO C2C

The client is seeking an experienced Data Engineer with strong expertise across data engineering, databases, cloud platforms, and application architecture. The ideal candidate has hands-on experience building scalable data pipelines and platforms, strong SQL and data modeling skills, working Python knowledge, and exposure to AI/ML and Generative AI technologies. This person will work closely with application architects, database architects, cloud engineers, data scientists, and application development teams to design and implement reliable, scalable, secure, high-performance data solutions.

 

• Design and define enterprise-level database architectures, standards, patterns, and best practices

• Evaluate and select relational, NoSQL, and cloud-native database technologies based on business/technical needs

• Design scalable database solutions covering data modeling, availability, resiliency, backup/recovery, replication, and disaster recovery

• Provide expertise across platforms such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar

• Design and support database solutions on AWS, Azure, or Google Cloud Platform

• Lead or support on-premises-to-cloud database migrations and modernization initiatives

• Optimize database performance through query tuning, indexing, partitioning, and capacity planning

• Establish database security standards: encryption, access controls, auditing, data protection, compliance

• Use Python for database automation, scripting, data processing, validation, and operational tasks

• Work with AI/ML and GenAI teams; provide architectural guidance on embeddings, vector databases/search, and RAG patterns

• Create and maintain architecture diagrams, database standards, and technical documentation

• Provide technical leadership, architecture reviews, troubleshooting support, and mentoring

 

• Strong experience in database architecture, engineering, or administration

• Deep understanding of relational database concepts: SQL, data modeling, normalization, indexing, transactions, performance optimization

• Experience with one or more major database platforms (PostgreSQL, Oracle, SQL Server, MySQL, MongoDB, or equivalent)

• Hands-on experience with AWS, Azure, or Google Cloud Platform, particularly managed database services

• Understanding of cloud architecture: scalability, high availability, security, monitoring, backup, disaster recovery

• Experience with database migration and modernization initiatives