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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Relevant certifications in Azure, Databricks and Big Data are a plus. 5-7+ years in designing, solutioning the Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Experience with Big Data tools and technologies, including Big Query, Databricks, Snowflake, Spark, and Kafka Streams. In-depth understanding of Big Data ecosystems and underlying architectures for re-platforming legacy systems and building integration solutions on the Google Cloud platform.
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Strong Knowledge in Big Data Technologies, Databricks, AWS Services, PySpark, thorough in one or more programming language like Python. We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
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As Principal Engineer, your primary responsibilities will be to develop, optimize, and oversee our company's conceptual and logical data systems. Familiarity with modern analytics and metadata management tools (e.g. DBT, Looker.
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A successful candidate will be customer-centric with a passion for leveraging modern data architectures and technology to make significant business impacts across organizational boundaries.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Familiarity with Big Data is preferred. Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Overall 10+ years of experience as developer in Big data technologies like Databricks/Spark and Hadoop ecosystems. " Experience in developing Spark applications using spark-SQL in Databricks for data extraction, transformation and aggregation from multiple file formats for analyzing and transforming the data to uncover insights into the customer usage patterns.
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This includes updating and modernizing the application using a modern fullstack Javascript web framework, implementing Typescript, developing highly interactive geospatial and data visualization oriented interfaces/components, and centralizing and streamlining cloud infrastructure.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$224,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop and maintain expertise on the latest technologies relating to cloud, IoT, big data, and artificial intelligence to provide thought leadership to our prospects, customers, and within the company.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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modern big data jobs Title: principal engineer in Chicago, IL
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