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Snowflake or Databricks certifications and/or hands-on-keyboard experience. The Data Engineer builds pipelines that are used to transport date from a data source to a data warehouse.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. For Senior Data Engineer (III) As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Experience in developing & building high to medium complex data pipeline for Enterprise Data Hub using ADF, Databricks, DBT, Azure Cloud Services, MS SQL Server ADW/DB, Python, PySpark, Devops.
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Provide subject matter expertise and technical consulting support for vendor or internal applications and interfaces, including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, and ADLS Gen2.
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Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell ScriptingDesign the Data replication systems and integration systems by evaluating various products and deciding on the better technology that meets the corporate objectives.
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Implement data pipelines using Apache Spark/Databricks. Experience in Apache Spark, Databricks or similar distributed processing systems. As a member of the engineering team, you will join us as an engineer, responsible for building and scaling our data pipelines and distributed data stores powering our platform.
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2+ years of experience building highly scalable data solutions using Snowflake, Hadoop, Spark, Databricks 2+ years of experience working in cloud environments (AWS and/or Azure). Experience with market data vendors - Bloomberg, Markit, ICE/Client, Client, Intex, KBRA. Experience working on distributed system and handling & processing of large-scale data (trades, risk, market data etc.
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Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse) Data Engineer, Finance Data page is loaded. Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factory or similar.
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Implementation expertise in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks. This individual in Senior Data Engineer role is responsible for tool and service designs within a technical domain that enable business strategies in accordance with architectural governance, standards, and policies.
$125,700 - $176,800 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Azure cloud stack and especially with data services like Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc. Work with the latest and greatest technologies in the Microsoft cloud stack including Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc.
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Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI. Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.
$98,700 - $161,700 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with Azure Databricks, Azure Cosmos DB, Azure PostgreSQL is preferred. Working as a Sr. Data Engineer for the Mott Macdonald Digital Team in North America, you will be working with other data engineers, BI specialists, and data analysts to deliver leading-edge solutions to our clients from various industries.
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5+ years of experience in designing and building data pipelines on Azure using Azure Data Factory, Azure Synapse, Azure Databricks or Microsoft Fabric. Job Title: Senior Data Engineer.
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Should be an expert in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration. PETADATA is currently looking to hire for the position of Lead Big Data Engineer for one of their clients.
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databricks job Title: data engineer in New York, NY
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