Job description
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 skilledand motivated databaseengineerto join our fast-paced team. The ideal candidate will have deep expertise incodingdesigning managing and optimizingrelational and columnar databaseswhile 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.
Job requirements
Job Responsibilities include:
Design implement/code and optimizerelational MySQLMongoDBand EMRdatabases.
Build and managedata warehousesand columnar databases for analytics and reporting.
Write tune and reviewcomplex SQL queries stored procedures and performance optimizations.
Ensure databasescalability security and high availabilityin production environments.
Implementbackup recovery and disaster recovery strategies.
Collaborate withengineering and data science teams to support data-driven applications and pipelines.
Work closely with product teams andUS-based clients ensuring smooth communication across time zones.
Troubleshoot production database issues with a focus onroot cause analysis and prevention.
Requirements:
Experience working onAWS-based infrastructure(RDS Redshift DynamoDB etc.) for database hosting and management.
4 yearsof experience as a DatabaseEngineeror similar role.
Proven hands-on expertise withMySQLEMR MongoDB and data warehouse solutions.
Strong background inAWS cloud database services(RDS Redshift Aurora DynamoDB).
Deep proficiency inSQL optimization and query performance tuning.
Experience designing and maintainingscalable ETL processes and data pipelines.
Familiarity withdatabase monitoring toolsand performance profiling.
Strong understanding ofACID principles indexing partitioning replication and sharding.
Experience working infast-paced startup environments.
Excellent communication skills and ability to work withinternational teams and clients.
Preferred Qualifications
Experience withbig data technologies(Spark Hadoop) is a plus.
Knowledge ofDevOps practices(CI/CD infrastructure as code Kubernetes).
Exposure todata modeling for machine learning and analytics pipelines.
All done!
Your application has been successfully submitted!
Required Experience:
IC
Job descriptionWe 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...
Job description
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 skilledand motivated databaseengineerto join our fast-paced team. The ideal candidate will have deep expertise incodingdesigning managing and optimizingrelational and columnar databaseswhile 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.
Job requirements
Job Responsibilities include:
Design implement/code and optimizerelational MySQLMongoDBand EMRdatabases.
Build and managedata warehousesand columnar databases for analytics and reporting.
Write tune and reviewcomplex SQL queries stored procedures and performance optimizations.
Ensure databasescalability security and high availabilityin production environments.
Implementbackup recovery and disaster recovery strategies.
Collaborate withengineering and data science teams to support data-driven applications and pipelines.
Work closely with product teams andUS-based clients ensuring smooth communication across time zones.
Troubleshoot production database issues with a focus onroot cause analysis and prevention.
Requirements:
Experience working onAWS-based infrastructure(RDS Redshift DynamoDB etc.) for database hosting and management.
4 yearsof experience as a DatabaseEngineeror similar role.
Proven hands-on expertise withMySQLEMR MongoDB and data warehouse solutions.
Strong background inAWS cloud database services(RDS Redshift Aurora DynamoDB).
Deep proficiency inSQL optimization and query performance tuning.
Experience designing and maintainingscalable ETL processes and data pipelines.
Familiarity withdatabase monitoring toolsand performance profiling.
Strong understanding ofACID principles indexing partitioning replication and sharding.
Experience working infast-paced startup environments.
Excellent communication skills and ability to work withinternational teams and clients.
Preferred Qualifications
Experience withbig data technologies(Spark Hadoop) is a plus.
Knowledge ofDevOps practices(CI/CD infrastructure as code Kubernetes).
Exposure todata modeling for machine learning and analytics pipelines.
All done!
Your application has been successfully submitted!
Required Experience:
IC
View more
View less