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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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SAP Sybase , Microsoft SQL Server, Apache Cassandra, Cosmos DB, Oracle, PostgreSQL and data warehouse platforms like Snowflake, Greenplum. Experience with any data replication offerings like: Sybase Rep, MSSQL HA, HVR(FiveTran.
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Database administration with experience in various data extraction systems like MySQL/MariaDB, Snowflake, PostrgreSQL, Oracle, SQL Server, DB2 &Sybase. Database administration with experience in various data extraction systems like MySQL/MariaDB, Snowflake, PostrgreSQL, Oracle, SQL Server, DB2 &Sybase.
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Utilize databases such as Oracle, DB2 UDB, Sybase, SQL Server, and Teradata for data management tasks. Experience with a variety of databases, including Oracle, DB2 UDB, Sybase, SQL Server, and Teradata.
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DBs: SQL, Mongo, DB2 (Legacy Sybase for transformation efforts) Modern Tools: TFS, Jenkins, Ansible, Chef, Puppet, Cucumber/Specflow, Atlassian Suite (Bamboo, Jira, Bitbucket), Git. Experience in developing APIs using Spring Boot framework, ideally with Docker container or OpenShift Cloud Platform (OCP.
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Database – Oracle, SQL server, DB2 and Sybase, SSIS. Basic knowledge in SQL, Linux, Windows, Cloud, Sybase, Oracle. Cloud Technologies – Pivotal Cloud Foundry (PCF), AWS, Docker, Apigee gateway.
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We are responsible for building customized software solutions for our clients Securitization Operations Business by delivering Technology solutions to support business capabilities using emerging technology, architecture and Cloud transformation.
Full-timeExpandUpdated 14 days ago - UpvoteDownvoteShare Job
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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Minimum experience of 5 years with relational databases such as Oracle, SQL Server, Sybase, RedShift. Coordinate with multiple NGA systems entities, including (but not limited to) Open Data Store (ODS), OCONUS Data Center (ODC), NSG Consolidated Libraries (NCL), NGA Gateway, GRiD, and IC GIS Portal.
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Relational databases (Sybase, DB2, SQL Server, Oracle, PostgreSQL) COBOL, DB2, SAS, JCL, IMS, CICS, REXX, VSAM, z/OS, TSO, ISPF, SYNCSORT, Mainframe utilities, Jobtrac- job scheduler, ISPW- change management tool.
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Application Servers (WebLogic, WebSphere & CE) Databases (Sybase ASE including OC/OS SDK, MySQL) Understanding of Programming languages (Core Java, C/C. Microsoft Active Directory Certifications (CISSP, CCNA/CCNP, CEH, Redhat, ITIL, MCSE) Ionic Security Protegrity Venafi TPP (Trust Protection Platform) SafeNet LunaSA & Tahles HSMs, Unbound vHSM. Hands on experience with web services and associated frameworks like SOAP, REST, and WCF. Experience working on database.
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Independently complete designs and database object constructs on any supported platform, including Microsoft Azure, Synapse, Teradata, Sybase, Salesforce, Oracle. Knowledge on Datalake/Cloud Platforms (Azure synapse/GCP Bigquery), ADF, Databricks, Pipeline Creations is a plus.
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Define, create, query, update and administer DBMSs such as Oracle, IBM DB2, Sybase, MySQL, PostgreSQL, and Microsoft SQL Server. OSOS program staff for this project are headquartered in Olympia, WA. The successful bidder(s) will work with our ITG Project Manager, ITG Application Development Manager, ITG Architect Applications, as well as ITG staff, OSOS business owners and subject-matter experts, and other stakeholders.
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Key skills: Linux (basic scripting, but will be doing constant environment fixes, responding to tickets), Murex (3.152 GUI Level and Architecture Support), SQL and/or Sybase, Python (very helpful), Ansible and Tidal are plusses.
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Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ / ASE. Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ / ASE. Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform.
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