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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Manage Azure Data Factory, Azure Functions, Databricks, Key Vault, Azure Blob storage, and Azure DevOps. Hadoop/Big Data/Databricks Certifications. Knowledge of distributed computing technologies like Spark, Impala, NiFi, Azure Data Factory, Azure Functions, and Snowflake.
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Microsoft Azure Cloud platform familiarity with Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps. Working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Oversee Azure Services and applications used by the Cloud Data Platform, including security access and user management, such as Azure Data Factory, Azure Functions, Databricks, Key vault, Azure Blob storage, and Azure DevOps.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) 14-16 Years of Data and Analytics experience with minimum 5+ years in one ore more of cloud platforms like Azure, AWS or Google Cloud Platform and Snowflake Cloud native data services.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Experience with cloud-based big data platforms, such as Amazon EMR, Google Cloud Dataproc, or Microsoft Azure HDInsight. Integrate and optimize big data technologies, such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Hive, to create a robust and high-performing data ecosystem.
Full-time/part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a background in Azure Data Engineering, Azure Data Lake, Azure Databricks, MS Fabric Ecosystems and Oracle E-Business Suite (EBS). Design, develop, and implement data engineering solutions using Azure Data Services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Strong knowledge of Cloud Infrastructure, preferably designing and implementing off-prem cloud (Azure) or on-prem/private cloud virtualized architectures and solutions, including active-active and geo/regional resiliency with near zero RPO & RTO Strong experience in Relational and NoSQL databases (SQL Server / CosmosDB / MongoDB etc.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today
azure big data jobs Company: Pwc
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