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Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks). Job Title:- Databricks Azure Engineer. Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure 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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Our client is looking for a Sr. Data Engineer Azure & Databricks to join us as they build cutting-edge technology solutions! You must be passionate about data engineering, possess a solid background in Azure and Databricks, and thrive in a collaborative and innovative environment.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Role Objective: Principal Data Engineer with Snowflake and Databricks experience is responsible for designing, developing, and maintaining scalable data processing systems for the organization, with a particular focus on Snowflake and Databricks technologies.
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Databricks Certified Developer or Databricks Certified Data Engineer certification. Proven experience as a Data Engineer with a focus on Databricks. Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake.
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Minimum of 10 years of experience in data engineering roles and 2+ years leading / maintaining data DevOps for Data Pipeline and ETL solutions with a focus on SQL, Databricks, Postgres, and Redshift.
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Job Title: Data Platform Engineer with Databricks and Unity Catalog (Only W2) · Data Platform Engineer with Databricks and Unity Catalog. · Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality.
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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. Title Sr. Data Architect Azure & Databricks.
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Senior-level software engineer or data engineer with experience developing and deploying big data analytics applications using Databricks on the AZURE platform. Contribute to the design and optimization of a Data Analytics system using Databricks on the Azure Platform.
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Data warehousing, AWS Cloud Business, Intelligence, Informatica and Databricks(data flow design, development, enhancement and maintenance). Python, Databricks, perl, spark , Kubernetes, dockers and other cloud native tools and technologies.
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X, Cloud Migration and Amazon EMR/Databricks/Cloudera CDP. project experience with Amazon EMR/Databricks/Cloudera CDP is must. experience in Amazon EMR/DataBricks/Cloudera CDP. Data Hadoop Engineer.
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. Your primary focus will be on leading and overseeing the design, development, and management of the data infrastructure on the Databricks platform within an AWS government cloud.
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. Deep understanding and proven experience in Databricks, Azure Data Factory, Synapse.
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The ideal candidate will have a strong background in utilizing Databricks for data exploration and analysis, alongside working knowledge of Snowflake and dbt. Familiarity with cloud platforms, particularly Azure services such as Azure Machine Learning, Azure Databricks, Azure Data Factory, or Azure Synapse Analytics.
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databricks job Title: data engineer Company: 3ktechnologies
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