Senior Database Engineer

Description

We are looking for a Senior Database Engineer to provide expert technical leadership for our global, cloud-based data infrastructure. This role involves designing, operating, and optimizing scalable, secure, and resilient database systems to support enterprise-scale workloads across AWS and Azure. As this is a Contract position with the possibility of becoming permanent, it offers an excellent opportunity to contribute to the development of cutting-edge database solutions while collaborating with cross-functional teams.

Responsibilities:
Design and manage multi-region database architectures across AWS and Azure to support geo-distributed workloads.
Architect and maintain relational, NoSQL, and document databases such as Snowflake, PostgreSQL, DynamoDB, Cosmos DB, and MongoDB.
Lead hands-on database migrations between cloud platforms and legacy systems with a focus on scalability and reliability.
Implement indexing strategies, optimize queries, and establish scaling patterns for handling large datasets and real-time applications.
Enhance database performance to ensure high availability, low latency, and cost efficiency at an enterprise level.
Support and refine data ingestion workflows and pipeline integrations using tools like AWS Glue, Step Functions, Lambda, and Azure Data Factory.
Collaborate with Data Engineering teams to develop streaming solutions using Kafka, Kinesis, and AWS services.
Apply robust security measures, including encryption, access controls, and secrets management, to protect database systems.
Develop disaster recovery strategies and maintain backup solutions to ensure data integrity and availability.
Monitor database systems using tools like CloudWatch, Azure Monitor, and Datadog, ensuring optimal reliability and performance.

Requirements

A minimum of 8 years of experience as a Database Engineer, Data Engineer, or similar role.
Advanced proficiency with AWS and Python for automation and database management.
Extensive experience with relational and NoSQL databases such as DynamoDB, DocumentDB, PostgreSQL, and Snowflake.
Hands-on expertise in designing and operating database solutions on Azure services like Cosmos DB and PostgreSQL.
Comprehensive knowledge of distributed systems concepts, including replication, partitioning, and latency optimization.
Proven ability to implement query tuning, indexing strategies, and cost-effective database solutions.
Experience with Infrastructure as Code tools like Terraform, CloudFormation, or Bicep.
Familiarity with CI/CD pipelines and observability tools for managing database changes and performance monitoring.

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