with PostgreSQL, ElasticSearch, MongoDB, and graph databases. Experience with GenAI enabled daily workflows (coding, testing, analytics). Experience with one or more SQL-on-Hadoop technology (Spark SQL, Hive, Impala, Presto, etc.) Experience with short-release cycles and the full software lifecycle Experience with Agile development methodology (e.g., Scrum) Current Security+ certification (or must obtain within 30 days) Bachelor More ❯
Experience Knowledge with the following Big Data technologies: Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef More ❯
open/close the workspace during regular business hours as needed. Preferred Requirements • Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. • Experience with containers, EKS, Diode, CI/CD, and Terraform are a plus. Benefits $152,000-$198,000 salary per year, depending on experience. 11 Federal More ❯
accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive More ❯
accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive More ❯
accept TS/SCI or TS/SCI with CI Polygraph Desired Experience: Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Work could possibly require some on-call work. The Swift Group and Subsidiaries are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive More ❯
years' experience in data analysis, ideally within regulatory reporting or financial services. Strong expertise in statistical modelling and handling large datasets (Python/SQL/Hadoop/Hive/Impala). Proven ability to manage complex issues and deliver innovative solutions. Excellent communication and stakeholder management skills. Proficiency in MS Office (Excel, Word, PowerPoint, Visio); advanced Excel skills essential. More ❯
of database solution in both traditional as well as columnar databases. Experience in data integration with ETL techniques and frameworks Experience in Big Data querying tools, such as Hive, Impala and Spark SQL Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time More ❯
of database solution in both traditional as well as columnar databases. Experience in data integration with ETL techniques and frameworks Experience in Big Data querying tools, such as Hive, Impala and Spark SQL Work Schedule: MULTIPLE SHIFTS AVAILABLE Work Type: Full Time More ❯
knowledge of warehousing and ETLs. Extensive knowledge of popular database providers such as SQL Server, PostgreSQL, Teradata and others. • Proficiency in technologies in the Apache Hadoop ecosystem, especially Hive, Impala and Ranger • Experience working with open file and table formats such Parquet, AVRO, ORC, Iceberg and Delta Lake • Extensive knowledge of automation and software development tools and methodologies. • Excellent More ❯
bash, Python, or Go Must have a DoD 8140/8570 compliance certification (i.e. Security+ certification) Preferred Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers and Kubernetes More ❯
