We are looking for a Staff Database Engineer to join our team and work on designing, modeling and optimizing OLTP related database technologies (RDMBS and NoSQL); and dive deeper with Application Architects and DBAs to build applications (with tens of millions of active accounts transacting with more than 1000+ tps). Additionally, you’ll be working on Data Warehouse solutions (leveraging AWS Redshift, Databricks and others) to build the performant data movement pipelines across OLTP and OLAP and give complete End-to-End coverage of data lifecycle. However, your primary responsibility will remain OLTP focused RDBMS and NoSQL database solutions.

Minimum 8 years of overall software development experience

• Minimum 6 years of hands-on experience in database engineering (RDMBS and NoSQL)
• Bachelor’s degree in Computer science, Computer Engineering or related field
• Experience with RDMBS (primarily MS SQL Server); proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.) that processes millions of transactions daily with very high processing rates to support mission critical databases
• Good understanding of SQL engine internals to help design and tune databases to get the optimal performance
• Development experience with NoSQL DBs (Cassandra, Cosmos DB, Dynamo DB or similar); and associated data modeling
• Experience in designing, developing, and deploying cloud-based solutions which leverage cloud provided platforms (Azure / AWS)
• Development experience with cloud-based data warehouse platform (Azure Databricks, Azure Synapse, AWS Redshift, Snowflake, etc.)
• Knowledge of data structures and algorithms and excellent programming skills (.NET, C#, Python and/or Java)
• Demonstrated expertise in performance tuning in various DB environments with large volume and velocity of data
• Experience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft Visual Studio Team Services, Chef, Puppet or Terraform
• Experience in handling structured and semi structured data forms like JSON/XML and normalization of data structures
• Understanding of OLTP and OLAP application

Responsibilities

• Design and development of various data models associated with Relational DBs (MS SQL Server, PostgreSQL, or similar) and NoSQL DBs (Cassandra, Cosmos DB, Dynamo DB or similar)
• Ensuring database features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability (with tens of millions of active accounts transacting with more than 1000+ tps)
• Working closely with other technology leaders to design and develop enterprise-wide data strategy for data modeling, data pipelines, and data integrations across various environments and technology stacks
• Developing performant data movement pipelines using real-time event data streams (Apache Kafka, Azure Event Hub, AWS Kinesis, Azure Databricks etc.)
• Designing and implementing performant cloud data warehouse platforms (Redshift, Azure Databricks, SQL DW, Snowflake, or similar)
• Delivering and presenting proofs of concept to of key technology components to project stakeholders and internal technology leaders
• Developing the data architecture and governance models for systems of engagement and provides the framework for integrating source systems with the transactional databases and/or data warehouses; Ensuring data architectural designs are consistent, maintainable, flexible, extensible and cost effective
• Ensuring data security and privacy standards are implemented including- role based security, encryption, tokenization, and obfuscation
• Performing problem-solving of application issues and production errors, including high level critical production issues that require immediate attention
• Work with other technology leaders on setting database standards and best practices for designing and architecting cloud-based data and reporting applications

Requirements
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Minimum 8 years of overall software development experience

• Minimum 6 years of hands-on experience in database engineering (RDMBS and NoSQL)
• Bachelor’s degree in Computer science, Computer Engineering or related field
• Experience with RDMBS (primarily MS SQL Server); proficiency with advanced SQL concepts (T-SQL, PL/SQL, etc.) that processes millions of transactions daily with very high processing rates to support mission critical databases
• Good understanding of SQL engine internals to help design and tune databases to get the optimal performance
• Development experience with NoSQL DBs (Cassandra, Cosmos DB, Dynamo DB or similar); and associated data modeling
• Experience in designing, developing, and deploying cloud-based solutions which leverage cloud provided platforms (Azure / AWS)
• Development experience with cloud-based data warehouse platform (Azure Databricks, Azure Synapse, AWS Redshift, Snowflake, etc.)
• Knowledge of data structures and algorithms and excellent programming skills (.NET, C#, Python and/or Java)
• Demonstrated expertise in performance tuning in various DB environments with large volume and velocity of data
• Experience working in a Dev/Ops environment with tools such as Azure Dev Ops, Microsoft Visual Studio Team Services, Chef, Puppet or Terraform
• Experience in handling structured and semi structured data forms like JSON/XML and normalization of data structures
• Understanding of OLTP and OLAP applications

Nice to have
Azure cloud certification is desirable.
We offer
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Opportunity to work on cutting-edge projects

• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India