Database Engineer

We area fast-growing startup powering digital guest engagement for thousands of restaurants in North America. Our platform is pillared on commerce, engagement and intelligence. Data is key to our efforts, especially around warehousing, analytics and agentic AI. We are looking fora highly skilled and motivated d
atabaseengineer
to join our fast-paced team. The ideal candidate will have deep expertise incoding,designing, managing, and optimizing
relational and columnar databases
while ensuring scalability, performance, and reliability across multiple platforms. You will play a key role inserving up data to the API and front-end teams. You have to be self-driven with a proven ability to maintain mission-critical data environments.

• Design, implement/code, and optimize
  relational MySQL,Mongo
  
  DBand EMR
  databases.
• Build and manage
  data warehouses
  and columnar databases for analytics and reporting.
• Write, tune, and review
  complex SQL queries
  , stored procedures, and performance optimizations.
• Ensure database
  scalability, security, and high availability
  in production environments.
• Implement
  backup, recovery, and disaster recovery strategies
  .
• Collaborate with engineering and data science teams to support data-driven applications and pipelines.
• Work closely with product teams and
  US-based clients
  , ensuring smooth communication across time zones.
• Troubleshoot production database issues with a focus on
  root cause analysis and prevention
  .

• Experience working on
  AWS-based infrastructure
  (RDS, Redshift, Dynamo
  
  DB, etc.) for database hosting and management.
• 4+ years
  of experience as a Database Engineeror similar role.
• Proven hands-on expertise with
  MySQL,EMR, MongoDB
  , and data warehouse solutions.
• Strong background in
  AWS cloud database services
  (RDS, Redshift, Aurora, Dynamo
  
  DB).
• Deep proficiency in
  SQL optimization and query performance tuning
  .
• Experience designing and maintaining
  scalable ETL processes and data pipelines
  .
• Familiarity with
  database monitoring tools
  and performance profiling.
• Strong understanding of
  ACID principles, indexing, partitioning, replication, and sharding
  .
• Experience working in
  fast-paced startup environments
  .
• Excellent communication skills and ability to work with
  international teams and clients
  .

• Experience with
  big data technologies
  (Spark, Hadoop) is a plus.
• Knowledge of
  Dev Ops practices
  (CI/CD, infrastructure as code, Kubernetes).
• Exposure to
  data modeling for machine learning and analytics pipelines
  .