Today
Public Trust
Mid Level Career (5+ yrs experience)
$150,000 and above
IT - Data Science
Fort Meade, MD (On-Site/Office)•Hill AFB, UT (On-Site/Office)•Scott AFB, IL (On-Site/Office)
This position is Hybrid in either of these locations: Fort Meade, MD or Scott AFB or Hill AFB
Top Skills' Details
- ETL Development/ ETL Pipelines
- Elasticsearch, Kibana (ELK)
- CI/CD, containerization, Kubernetes
- Big data, data governance
Technical Qualifications
• Data architecture/designer/engineer – Develop Elastic indexes, Data transformations and enrichment.
• Experience working inside Elastic and Confluent
• Data Automation: Experience automating data cleansing, formatting, staging, and transformation processes.
• Text Mining & ELK Stack: Proficiency with text mining tools, summarization, search (ELK Stack), entity extraction, training set generation, and anomaly detection.
• CI/CD & Containerization: Familiarity with CI/CD techniques for developing and releasing software through containerized pipelines.
• BI Tools & Search Analytics: Knowledge of BI tools (e.g., Kibana, Splunk) and experience with developing search and analytics applications.
• Big Data Technologies: Experience with Elasticsearch, Logstash, Kibana, Kafka, ksql, NiFi, Apache Spark, ServiceNow.
• Elastic Engineer Certification: Certified Elastic Engineer with experience developing logstash and ingest pipelines.
• Experience developing in Confluent ksql and kstreams for data ETL purposes.
• Kubernetes Expertise: Familiarity with Kubernetes and deployment of containers.
• Agile Processes: Experience with Agile methodologies and related tools.
Top Skills' Details
- ETL Development/ ETL Pipelines
- Elasticsearch, Kibana (ELK)
- CI/CD, containerization, Kubernetes
- Big data, data governance
Technical Qualifications
• Data architecture/designer/engineer – Develop Elastic indexes, Data transformations and enrichment.
• Experience working inside Elastic and Confluent
• Data Automation: Experience automating data cleansing, formatting, staging, and transformation processes.
• Text Mining & ELK Stack: Proficiency with text mining tools, summarization, search (ELK Stack), entity extraction, training set generation, and anomaly detection.
• CI/CD & Containerization: Familiarity with CI/CD techniques for developing and releasing software through containerized pipelines.
• BI Tools & Search Analytics: Knowledge of BI tools (e.g., Kibana, Splunk) and experience with developing search and analytics applications.
• Big Data Technologies: Experience with Elasticsearch, Logstash, Kibana, Kafka, ksql, NiFi, Apache Spark, ServiceNow.
• Elastic Engineer Certification: Certified Elastic Engineer with experience developing logstash and ingest pipelines.
• Experience developing in Confluent ksql and kstreams for data ETL purposes.
• Kubernetes Expertise: Familiarity with Kubernetes and deployment of containers.
• Agile Processes: Experience with Agile methodologies and related tools.
group id: 10105424
Accelerating IT transformation in the public sector
