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Diverse Lynx · 1 week ago
Java Full Stack Developer
McLean, VA
Full-time
Onsite
Entry, Mid Level
3+ years exp
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Software Development
Insider Connection @Diverse Lynx
Responsibilities
Work on MongoDB for framework and other data analytics data ingest from different sources system.
Query Optimization: Analyze and optimize MongoDB queries for performance efficiency.
Index Management: Create and manage indexes to improve query performance.
Collaboration with Developers: Work closely with software developers to integrate MongoDB effectively within applications and to understand and fulfill data storage requirements.
Code Reviews: Review and provide feedback on database-related code to ensure best practices and efficiency.
Microservices Architecture Design: Design robust, scalable, and maintainable microservices architectures, ensuring they align with business needs and technical requirements.
Technology Stack Selection: Choose appropriate technologies, frameworks, and tools for building and managing microservices, focusing on Java-based solutions.
Integration: Design and implement integration strategies for microservices to communicate effectively with each other and with external systems.
Sound knowledge in Java Microservices and good hands-on experience for data and analytical platform.
Strong experience in Kafka for data streaming process and data ingestion to the data platform.
Building and setting up the Kafka streaming framework and enabling the data ingestion process to manage the data onboarding seamlessly.
Extensive experience in database query tuning, performance tuning, and troubleshooting application issues on OLTP/OLAP systems.
RDBMS Architecture, T-SQL query and Query Optimization knowledge and work experience.
Provide support to team members and helping them to understand the projects and requirements and guiding them to create the optimized solution of it.
Team player and proven track record of working in various team sizes performing cross-functional roles.
Ensure that their code has high quality by applying techniques like TDD and BDD and meets non-functional requirements like security.
Collaboration with Development Teams: Work closely with software developers to integrate Kafka into applications and ensure they are using best practices for event streaming.
Issue Resolution: Troubleshoot and resolve issues related to Kafka clusters, data pipelines, and integrations.
Performance Tuning: Optimize Kafka settings, such as topic partitioning, replication factors, and log retention policies, for improved performance.
Monitoring and Alerts: Implement monitoring solutions to track the health and performance of Kafka clusters, using tools like Prometheus, Grafana, or Confluent Control Center.
Qualification
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Required
MongoDB (Expert)
Java Microservices
Kafka
Cloudera Data platform (CDP)
SQL Server
Scripting Languages: Batch Script, Shell Script, Python
Spark, Scala, Pyspark, HDFS
Agile, Scrum, Jira, Git, SVN, Liquibase
Proficiency in MongoDB, understanding of NoSQL databases, familiarity with database design and architecture principles
Work on MongoDB for framework and other data analytics data ingest from different sources system
Query Optimization: Analyze and optimize MongoDB queries for performance efficiency
Index Management: Create and manage indexes to improve query performance
Collaboration with Developers: Work closely with software developers to integrate MongoDB effectively within applications and to understand and fulfill data storage requirements
Code Reviews: Review and provide feedback on database-related code to ensure best practices and efficiency
Microservices Architecture Design: Design robust, scalable, and maintainable microservices architectures, ensuring they align with business needs and technical requirements
Technology Stack Selection: Choose appropriate technologies, frameworks, and tools for building and managing microservices, focusing on Java-based solutions
Integration: Design and implement integration strategies for microservices to communicate effectively with each other and with external systems
Sound knowledge in Java Microservices and good hands-on experience for data and analytical platform
Strong experience in Kafka for data streaming process and data ingestion to the data platform
Building and setting up the Kafka streaming framework and enabling the data ingestion process to manage the data onboarding seamlessly
Extensive experience in database query tuning, performance tuning, and troubleshooting application issues on OLTP/OLAP systems
RDBMS Architecture, T-SQL query and Query Optimization knowledge and work experience
Provide support to team members and helping them to understand the projects and requirements and guiding them to create the optimized solution of it
Team player and proven track record of working in various team sizes performing cross-functional roles
Ensure that their code has high quality by applying techniques like TDD and BDD and meets non-functional requirements like security
Collaboration with Development Teams: Work closely with software developers to integrate Kafka into applications and ensure they are using best practices for event streaming
Issue Resolution: Troubleshoot and resolve issues related to Kafka clusters, data pipelines, and integrations
Performance Tuning: Optimize Kafka settings, such as topic partitioning, replication factors, and log retention policies, for improved performance
Monitoring and Alerts: Implement monitoring solutions to track the health and performance of Kafka clusters, using tools like Prometheus, Grafana, or Confluent Control Center
Company
Diverse Lynx
We are a WBENC and NMSDC certified company helping our clients in their Diversity spending on Staffing or Contingent Workforce Services.
1,001-5,000 employees
Funding
Current Stage
Late StageLeadership Team
Sujata Varma
CEO
Recent News
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