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We maintain a number of RDBMS, NOSQL database platforms, such as Cassandra, PostgreSQL, SQL Server and Aerospike, in a mix of Linux and Containerised environments. Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack.
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake. SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake.
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Use your infrastructure and networking knowledge to maintain cloud-based infrastructure (predominantly on AWS) involving EC2, S3, RDS & VPC. Use configuration management tools (Ansible and Terraform) to build and maintain a hybrid infrastructure hosted both at colocation facilities and in the public cloud.
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Knowledge of local and wide area networking on multiple platforms: Windows, Linux, and VMware; network protocols and routing; network, server, and host operating systems; IP networking, internet, and intranet technologies; email, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; Windows desktop OS; server hardware, software, and administration.
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Demonstrated engineering abilities in Windows Desktop applications, remote access, MS Windows 7, SQL Server, VMware, EMC, SAN storage, Cloud as a service, Broadworks, Polycomm, BlackBerry, Apple iOS, information security, wireless technologies, system networking, etc.
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Must Have Skills/Attributes: Data Analysis, PowerBI, Python, Snowflake, SQL, Tableau. Experience with SQL and Tableau - Experience with Python, R, Tableau, PowerBI, SAS, and other BI software.
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Big Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, GCP's Big Query, AWS Redshift. Expertise in two or more data estate workloads like Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), HDInsight, Hadoop, Cloudera/Hortonworks, Apache Spark, Snowflake, MapR, AWS (Redshift, Glue), Google (BigQuery), MemSQL, MarkLogic, Qubole, Pivotal (Greenplum), Actian (Avalanche), Alibaba (MaxCompute) required.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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The Qlik Sense developer will be responsible for analyzing financial data/data modeling, using SQL and Qlik Sense. The Qlik Sense developer will be responsible for analyzing financial data/data modeling, using SQL and Qlik Sense.
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C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.) As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Must be a current AWS Certified Welding Inspector. Must be a current AWS Certified Welding Inspector. ASNT NDT Level III certification in Visual Testing (VT) is highly desirable. This individual must have QA/QC experience in the Semiconductor industry, specifically for cleanroom fabrication of stainless steel and PVDF/PFA piping systems.
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Preferred: Experience in AWS Infrastructure as a Service, CloudFormation, Terraform, AWS compute, data sources, security technologies, Infrastructure-as-Code (IAC), AWS Cloud, Elastic Kubernetes Service (EKS) and Gitlab.
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Extensive experience using Snowflake, AWS SageMaker, GCP/GCP BigQuery, DBT, and Airflow for AI/ML model deployment and operationalization. Test and deploy these AI/ML pipelines in AWS production environment, following CI/CD and release engineering practices.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Advanced knowledge of DAX/MDX, Azure DevOps, HTML, JSON, and SQL Server. Strong grasp of data integration, data architecture, and SQL Server database technology. The Opportunity: Valiant Residential is seeking an experienced Power BI Developer to lead our dedicated business intelligence team.
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