Data Developer with Security Clearance
Apply NowCompany: TEKsystems c/o Allegis Group
Location: Fort Meade, MD
Description:
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.
- 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.