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Database Engineer will work alongside other Database Engineers and Database Administrators in Enterprise Solution Services to design, execute, and maintain Microsoft SQL Server, Microsoft Dynamics, and Hyland OnBase-based infrastructure for the client, including all such systems hosted by, and especially those directly managed by client.
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SQL Database Engineer - Active DoD Secret - Hybrid Remote. Bring your expertise in one or more of the following database platforms: MS SQL Server, Oracle, Sybase, DB2, MySQL, to bear on assigned projects.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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They possess a strong skillset: knowledge of agile methodologies, project management in a database and technology environment, requirement gathering, various reporting technologies, and PL/SQL and T-SQL coding experience.
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Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake). · Proven work experience as a Data Analyst, Data Engineer, Database Developer, Data Architect, Business Analyst or similar role.
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Strong database testing experience, OBIEE reporting, Snowflake, SQL, Some UI testing with Java and Selenium. Database Dialects: Oracle, Snowflake, PostgreSQL, SQL Server and DynamoDB (preferred.
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Primary Skills: Microsoft Dynamics CRM based technologies including SQL Database, IIS Website, Windows Server, ERP and eCommerce integration. Ensure availability and performance of Microsoft Dynamics CRM based technologies including SQL Database, IIS Website, Windows Server, ERP and eCommerce integration and any required technologies in support of the Company"�s eCRM suite.
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Proven work experience as a Data Analyst, Data Engineer, Database Developer, and Data Architect, Business Analyst or similar role. · Familiarity with data manipulation languages and the principles of database design.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake) Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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This position requires a self-starter with a background, knowledge, and domain expertise in data analytics, database, streaming, microservice, IoT, cloud, and knowledge of, but not limited to, Python, Snowflake, Kafka, Spark, Cassandra, SQL, Kubernetes, Docker and services from the hyperscalers and IoT providers.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka.
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Strong understanding of container orchestration (Nomad, Kubernetes) Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka) At least 3 years experience with Docker, Terraform or Ansible.
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5+ years experience with Docker, Terraform or Ansible. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs.
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