Senior Data Modeler with NoSQL, ELK or EFK, Kafka. AWS and AppDynamics.
Posted 1 day ago by 1761115502
Negotiable
Outside
Remote
USA
Summary: The Senior Data Modeler role focuses on developing and implementing data models across various platforms, including SQL and NoSQL. The position requires expertise in ELK or EFK stacks, AWS, and AppDynamics, with responsibilities including optimizing data architecture and ensuring data integrity. The candidate must be capable of both independent and collaborative work, with strong communication skills. This role may require occasional work outside normal business hours.
Key Responsibilities:
- Develop conceptual, logical, and physical data models.
- Implement RDBMS, operational data stores, data marts, and data lakes.
- Oversee and govern data architecture expansion and optimization of query performance.
- Design across all data platforms to meet business and data requirements.
- Write SQL queries for data analysis and profiling.
- Collaborate with Team Leads to ensure technical solutions align with enterprise architecture.
Key Skills:
- Expert Level experience in ELK or EFK stack (ElasticSearch, Logstash, FluentD, Kibana).
- AWS Managed Kafka or Confluent Cloud Mid to Expert Level.
- AWS Cloud Platform Mid-level experience.
- Experience with SaaS Enterprise Monitoring platforms like AppDynamics or SignalFx.
- Advanced knowledge of enterprise scale Hybrid IT Infrastructure.
- Strong communication and interpersonal skills.
- Self-motivated and able to work in a team environment.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Position: Senior Data Modeler with NoSQL, ELK or EFK, Kafka. AWS and AppDynamics.
Location: Remote
Duration: Long Term
Job Description:
Responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
Implement business and DT data requirements through designing across all data platforms (relational, dimensional, and NoSQL).
Experience in writing SQL queries to perform data analysis, data profiling and ensuring referential integrity is maintained.
Skills/Experience
Must have Expert Level working experience in ELK or EFK stack (ElasticSearch, Logstash, FluentD, Kibana)
- AWS Managed Kafka or Confluent Cloud Mid to Expert Level.
- AWS Cloud Platform Mid-level
- Strong background experience in at least one of the SaaS Enterprise Monitoring platforms and technologies, AppDynamics, SignalFx, is preferred.
- Advanced Knowledge of enterprise scale Hybrid IT Infrastructure, Platforms and Applications
Works with other Team Leads to ensure that the technical solutions are consistent with the enterprise architecture and strategy.
Must possess strong communication and interpersonal skills, work well in an integrated team environment, and must be self-motivated.
This role requires working outside normal business hours on occasion.