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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Design and deploy large-scale data applications using Cloud, Big Data, Azure Data Factory (ADF), Azure Data Bricks, Python, Spark, SQL and NoSQL solutions.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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NET, PowerShell Scripting, Python, JavaScript, CI/CD, Data Visualization, SSIS, SSRS, and Git/Azure DevOps. Experienced in managing and optimizing data storage using Azure Data & Analytics Services, Data Factory, Data Lake, DataBricks, Cosmos DB, Synapse Analytics, PowerBI, and MS SQL Server.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Implement robust security and compliance measures in Azure, Snowflake, and Databricks to protect sensitive data and meet regulatory requirements. The Azure Solutions Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack. Oracle, SQLServer, PostgreSQL, MySQL, Informix, Couchbase, CockroachDB, Yogabyte, ScyllaDB, MongoDB, Datastax, RDS, Aurora, Dynamo, Azure SQL, CosmoDB.
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Preferred Qualifications: Relevant certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert, Microsoft Certified: Azure Administrator Associate). Job Title: Sr Azure Devops Engineer Location: Dallas TX Onsite Duration: 12 months Job Summary: We are seeking a skilled Azure DevOps Engineer to join our IT Development and Operations team.
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Current Azure DevOps Expert or Azure Architect Expert certification or equivalent AWS or GCP certification required. Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy or other similar tools.
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. Strong experience in Microsoft ETL stack, SSIS, Azure Data factory. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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Our expertise across applications, data, and the Microsoft Azure platform allows us to accelerate innovation speed, increase operational agility, and vastly improve the return on investment in modern technology and human expertise.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps. Work with DevOps team to automate deployment DR strategy Automation of data replication between Cloud and failover environment required between all applications.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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As a key member of the Data Intelligence team, this includes preparing and executing analytic strategies, measurement and reporting for CRM digital and non-digital marketing campaigns and making proactive recommendations that drive the key performance goals of our clients.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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You are passionate about emerging technologies such as artificial intelligence, blockchain, and robotics. Coworking membership at Capital Factory with garage parking space, metro pass, or rideshare credits and access to the onsite gym.
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big data artificial intelligence azure devops jobs Title: developer in Dallas, TX
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