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Hands-on experience with architecting and Implementing Hadoop applications with complete detailed design of the Hadoop solution, including Data Ingestion, Data Storage/Management, Data Transformation.
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The ideal candidate should have extensive experience in Microsoft Fabric stack of technologies, including Azure Synapse Data Engineering and Azure Data Factory, along with hands-on experience in ETL/ELT and cloud migration.
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Ways to stand out from the crowd:Demonstrated expertise and hands-on experience with NVIDIA AI products for Machine Learning and Data Processing (RAPIDS and sparks-rapids). Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Experience: 5- 7 years of experience of hands-on experience as an Enterprise Architect, Principal Engineer, or similar role for large-scale enterprise solutions using agile practices.
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Lead by example: Has the desire and drive to be a hands-on Architect advancing the data product features and functions to the end customer while promoting a culture of continuous improvement and innovation by finding solutions that increase efficiency, accelerate the adoption of new technologies and enhance profitability.
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Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Provide guidance and expertise on data governance, data security, and data quality management.
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Work alongside the Data Architect deploying the data mesh architecture and developmental recommendations, and stay hands-on in developing and maintaining the framework, cookbook, and bootstrap code for data infrastructure as-a platform.
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Expertise in ETL processes and extensive hands-on experience with Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Architect and implement a scalable Data Mesh framework, focusing on decentralization of data ownership and domain-oriented decentralized governance.
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Hands-on experience and proficiency in Data Governance tools likeInformatica IDMC, Collibra, and Alation across all DG capabilities, aka, Data Catalog, Metadata Management, Glossary, Lineage, Data classification / Access / Security, Data Marketplace.
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Hands on design and development experience in multiple Data Warehousing, Data Lake and analytics Platforms: Microsoft data and analytics platform (Azure Data Factory, Microsoft SQL Server, Azure SQL Database, Azure SQL Managed Instance, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks, etc.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) Hands-on experience with ETL (Extract-Transform-Load) tools (e.g. Informatica, Talend, Pentaho.
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hands on jobs Title: data architect
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