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Technologies like Azure Data Factory (ADF), Databricks, Delta Tables & Synapse will be used as the team oversees Eclipse data transformation & ongoing future development. Senior Data Engineer - Azure, Databricks, Python, Synapse, Azure Data Factory, Eclipse.
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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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3+ years’ experience in data administration, from setting up the Databricks environment to successfully administering it. Be able to Install, troubleshoot, integrate with Identity Access Management for Databricks.
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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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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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Solution Design: Develop end-to-end data pipelines, data warehousing, and analytics solutions leveraging Databricks and AWS services such as S3, Redshift, Glue, and Lambda. Experience: 7+ years of experience in data engineering, cloud architecture, or related fields with a focus on AWS and Databricks.
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Familiarity with some of these tools: DB2, Oracle, SAP, Postgres, Elastic Search, Glacier, Cassandra, DynamoDB, Hadoop, Splunk, SAP HANA, Databricks. Experience completing Databricks development and/or administrative tasks.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - 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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Desc: We are seeking an experienced Azure API Management (APIM) Developer with a strong background in Microsoft SQL Server, SQL Server Integration Services (SSIS), Azure Databricks, Azure Data Factory (ADF), and programming expertise in Scala and PySpark.
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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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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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You'll play a key role in developing and managing cloud environments using Terraform, with a focus on building out core infrastructure for Databricks and GCP. Your work will be integral to modernizing our client’s data platform, ensuring reliable, efficient, and scalable cloud operations.
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Remote Desc: We are seeking an experienced Azure API Management (APIM) Developer with a strong background in Microsoft SQL Server, SQL Server Integration Services (SSIS), Azure Databricks, Azure Data Factory (ADF), and programming expertise in Scala and PySpark.
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databricks job Title: data Company: Jpmorgan Chase Co
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