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Senior Data Engineer - Azure, Databricks, Python, Synapse, Azure Data Factory, Eclipse. Technologies like Azure Data Factory (ADF), Databricks, Delta Tables & Synapse will be used as the team oversees Eclipse data transformation & ongoing future development.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings.
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We are seeking a dedicated and driven Data Engineer with solid experience in Azure Data Platforms and Databricks. Expertly use Azure data services (including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and others) to extract, transform, and load (ETL) data from various sources.
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As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources.
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Ecotricity, the UK’s first true green energy provider, has a strong internal team supporting and developing solutions across multiple mission critical platforms including Databricks on AWS, SQL, Power BI and other cloud centric data solutions.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
$199,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Engineer, you'll design, develop, and optimise data pipelines on a Databricks-based platform, Symphony. Proven experience as a Data Engineer with expertise in Databricks, Hadoop/Spark.
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Azure Data Engineer Associate Preferred. NAVA Software solutions is looking for a Lead Data Engineer. As a Lead Data Engineer You Will. Details: Lead Data Engineer.
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Senior Data Engineer - AWS / Databricks / Airflow. Again, with a salary on offer of between £85,000 - £100,000 depending on experience, this position would be ideal for a skilled Senior Data Engineer skilled in AWS and Databricks.
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Hands-on experience with ETL tools and processes, and orchestration platforms such as Apache Airflow or AWS Step Functions with data pipeline tools like Airflow/Databricks. We are seeking a talented and motivated AWS Cloud Data Engineer to join our growing engineering team.
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Extensive experience in data engineering with a strong focus on Snowflake and Databricks. Stay up to date with emerging technologies and best practices in data engineering, particularly in Snowflake, Databricks, and AI/ML.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data Platforms : Experience with Databricks for big data processing and analytics. Data Integration: Design and implement data integration solutions using AWS services, Databricks, and Python.
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As a Senior Data Engineer, you will advise and assist with the AWS cloud data platform services: EC2, EMR, RDS, Redshift, Glue and define data pipeline and workflow management tools like Airflow.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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