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We are seeking a highly experienced Azure Data Engineer with a focus on Databricks, having 12 to 15 years of expertise. The ideal candidate will lead the design and development of data and analytics projects in a global setting, demonstrating proficiency in Microsoft Azure, particularly in Databricks, ADLS, Blob Storage, Data Factory, SQL Server, and Warehouses.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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8+ years of Data Engineer experience in performing data analysis, data ingestion and ETL (Extraction, Transformation & Loading). is looking for a Data Engineer, Tech Lead to join the Data & Analytics team.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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A minimum of 2-4 years of hands-on-experience developing and delivering solutions as a Data Engineer primarily in AWS technologies. XTIVIA is actively recruiting for a Data Engineer with a strong background in AWS data technologies to join our data team.
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The Smithsonian Institution’s Office of Advancement seeks a Data Engineer to serve as a key member of the Advancement Technology Services team as we transform our data management approach.
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SpotHero is seeking a Data Engineer to join the Data Engineering squad. As a Data Engineer, you’ll focus on building data products and data pipelines for our stakeholders to enable them to model, store, access, process, and analyze SpotHero’s data.
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As a Data Engineer, you'll play a pivotal role in designing and maintaining our data infrastructure, ensuring the integrity and accessibility of our data for informed decision-making.
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Title: Data Engineer. Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake.
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The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques. Works with data visualization specialists to facilitate technical design of complex data sourcing, transformation and aggregation logic ensuring business analytics requirements are met.
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We are seeking a highly skilled and experienced GCP (Google Cloud Platform) Data Engineer with more than 6 years of expertise to join our dynamic team. The GCP Data Engineer will play a pivotal role in designing, implementing, and optimizing data solutions on Google Cloud Platform.
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We are looking for a skilled Data Engineer with expertise in Salesforce and BigQuery to join our data team. Proven experience as a Data Engineer with a focus on Salesforce and BigQuery.
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Cortica is looking for a Data Engineer to join its growing multi-disciplinary team! Work closely with financial data analysts to build complex data models and data pipelines from health and business operations data utilizing Python, Airflow, MS SQL, Snowflake, and AWS.
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Experience with tools that make up modern data stack, such as: Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc. Scale Global Partner's ability to democratize data by leveraging a Modern Data Stack (Snowflake, dbt, Fivetran, DataBricks, Census, Dagster, etc.
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The Senior Data Engineer will be responsible for creating and maintaining data pipelines between Google BigQuery and vended or UCR hosted sources in support of a campus wide data warehouse initiative.
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Title: data engineer Company: Match Point Solutions
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