US Main
NOSQL Principal Database Engineer
US Main, Daly City, California, us, 94016
Summary
Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.
Tllis is an exciting opportunity for an experienced senior developer of large-scale data solutions. You will join a team delivering a transformative next gen cloud hosted data platform.
Tile ideal candidate will have a proven track record in implementing NoSQL data stores, real-time event data streaming and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation requiring high TPS (1000+ transactions/second). Tile successful candidate will have hands-on experience in a multitude of data domains; including, but not limited to;24 x 7 x 365 enterprise and cloud database infrastructure design and management, security, database design, database development, database tuning, service delivery, incident tracking, and change management.
Responsibilities
Architecting and managing various OLTP application data models associated primarily with NoSQL DBs (Cosmos DB) and additionally Relational DBs (Azure SOL, MS SQL Server or similar)Ensuring database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability (with millions of active accounts transacting with very high TPS)Architecting and designing enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacksDesigning and implementing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, etc)Defining and documenting enterprise-wide database standards, patterns & best practice for larger scale adoption for accelerated delivery around data domainsBringing thought leadership through understanding the key business objectives and strategically providing data integration solutions to support various data domainsClear understanding of Entity Framework concepts and database design supporting microservices architecture development patternsEnsuring data security and privacy standards are implemented, including- role-based security, encryption, tokenization, and obfuscationPerforming problem-solving of application issues and production errors, including hign-level critical production issues that require immediate attentionDeveloping the data architecture and governance models for systems of engagement and providing the framework for integrating sourcesystems with the transactional databases and/or data warehouse; Ensuring data architectural designs are consistent, maintainable, flexible, extensible, and cost-effectiveLeading and mentoring a team of data engineers by setting standards and best practices for designing and architecting cloud-based data and reporting applications
Qualifications
Bachelors and/or Masters degree in Computer Science, Computer Engineering or related field preferred12+ years of overall software development experience required (With heavy focus on database centric development)4+ years of hands-on development experience with combination of NoSQL DBs (Cosmos DB, MongoDB/Cassandra or similar)1+ year of hands-on development experience with Azure Cosmos DB2+ years of hands-on development experience with event based streaming technologies (Apache Kafka/Azure Event Hub or similar)Strong Knowledge and experience in data modeling & design With relational and NoSQL DBsExperience with RDMBS (primarily MS SQL Server and Azure SQL); proficiency with advanced SQL concepts (T-SQL, Pl/SQL, etc.) that process millions of transactions daily with very high processing rates to support mission-critical databasesAdvanced understanding of SQL engine internals to help design and tune databases to get the optimal performanceExperience building and scaling distributed, highly available systems in cloud env (Azure/AWS)Expertise in understanding complex business needs, analyzing, designing, and developing solutionsExperience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft VisualStudio Team Services, chef, Puppet or TerraformExperience in handling structured and semi-structured data forms like JSON/XML and normalization of data structures
Increase your chances of reaching the interview stage by reading the complete job description and applying promptly.
Tllis is an exciting opportunity for an experienced senior developer of large-scale data solutions. You will join a team delivering a transformative next gen cloud hosted data platform.
Tile ideal candidate will have a proven track record in implementing NoSQL data stores, real-time event data streaming and transformation pipelines for large scale organizations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation requiring high TPS (1000+ transactions/second). Tile successful candidate will have hands-on experience in a multitude of data domains; including, but not limited to;24 x 7 x 365 enterprise and cloud database infrastructure design and management, security, database design, database development, database tuning, service delivery, incident tracking, and change management.
Responsibilities
Architecting and managing various OLTP application data models associated primarily with NoSQL DBs (Cosmos DB) and additionally Relational DBs (Azure SOL, MS SQL Server or similar)Ensuring database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability (with millions of active accounts transacting with very high TPS)Architecting and designing enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacksDesigning and implementing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, etc)Defining and documenting enterprise-wide database standards, patterns & best practice for larger scale adoption for accelerated delivery around data domainsBringing thought leadership through understanding the key business objectives and strategically providing data integration solutions to support various data domainsClear understanding of Entity Framework concepts and database design supporting microservices architecture development patternsEnsuring data security and privacy standards are implemented, including- role-based security, encryption, tokenization, and obfuscationPerforming problem-solving of application issues and production errors, including hign-level critical production issues that require immediate attentionDeveloping the data architecture and governance models for systems of engagement and providing the framework for integrating sourcesystems with the transactional databases and/or data warehouse; Ensuring data architectural designs are consistent, maintainable, flexible, extensible, and cost-effectiveLeading and mentoring a team of data engineers by setting standards and best practices for designing and architecting cloud-based data and reporting applications
Qualifications
Bachelors and/or Masters degree in Computer Science, Computer Engineering or related field preferred12+ years of overall software development experience required (With heavy focus on database centric development)4+ years of hands-on development experience with combination of NoSQL DBs (Cosmos DB, MongoDB/Cassandra or similar)1+ year of hands-on development experience with Azure Cosmos DB2+ years of hands-on development experience with event based streaming technologies (Apache Kafka/Azure Event Hub or similar)Strong Knowledge and experience in data modeling & design With relational and NoSQL DBsExperience with RDMBS (primarily MS SQL Server and Azure SQL); proficiency with advanced SQL concepts (T-SQL, Pl/SQL, etc.) that process millions of transactions daily with very high processing rates to support mission-critical databasesAdvanced understanding of SQL engine internals to help design and tune databases to get the optimal performanceExperience building and scaling distributed, highly available systems in cloud env (Azure/AWS)Expertise in understanding complex business needs, analyzing, designing, and developing solutionsExperience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft VisualStudio Team Services, chef, Puppet or TerraformExperience in handling structured and semi-structured data forms like JSON/XML and normalization of data structures