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Senior Databricks Engineer/Data Engineer. This person must be a Databricks expert. Should have a background in data engineering. Senior Databricks Engineer/Data Engineer. This person must be a Databricks expert.
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Exposure to cloud technologies (AWS, DataBricks, Nifi) As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking - Corporate Data Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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Experience working with Databricks. As a Lead Data Engineer at JPMorgan Chase within the Corporate Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Develop different Spark pipelines in Databricks software, schedule notebook jobs for daily sync jobs, and monitor feature engineering pipelines. Develop Python-Spark (PySpark) ETL, and ELT Pipelines to perform distributed big data processing in both batch and real time streaming from different data sources: Snowflake, MongoDB, Redis cache, Microsoft Event hubs and Kafka topics.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Business Intelligence tools, SQLTools, Azure databricks, Azure data factory. As a Data Analyst, you will be the key domain expert overseeing PepsiCo's business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team.
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Understanding of data services including ComosDB, Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse, Snowflake and when to use each. Azure Data Architects must have a strong understanding of Azure PaaS services, design and architect Azure Data Factory, Databricks, Azure Data Lake, Data warehouse, Synapse, and Fabric data solutions & platforms.
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Azure Databricks experience is must. Very good data warehousing and data modeling skills (Kimball, Inmon, Star, Snowflake, Constellation) 10+ years of overall experience developing data solutions leveraging Microsoft technologies (SSIS and or ADF, SSAS, SQL Server, Azure SQL/Synapse.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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This role will be responsible for architecting, designing, and implementing Advanced Analytics capabilities within the Enterprise Data Warehouse (EDW) platform on Teradata, Azure Data Lake, Databricks, and other related ETL technologies.
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Working with Databricks & E2 framework. Experience on building data extraction pipelines. c#, developer, devops, matlab, perl, php, software engineer, software programmer. Working with Databricks & E2 framework.
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You should have experience with traditional and modern technologies such as: Databricks, Python, REST API, relational databases, Snowflake, Git, Shell scripting, and AWS. Develop and enhance applications using a modern technology stack such as Python, Shell Scripting, Snowflake, Lambda, and Databricks.
Part-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Expertise in architecting, designing, and building end to end data platforms using Databricks. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Experience with Spark and/or Databricks. The Senior Data Scientist role is critical to our data-driven decision making processes for the product development organization as well as other business intelligence stakeholders.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Data Warehouse Manager. This role will translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses, and implement cutting edge solutions by building Semantic and Virtual data layers to provide faster and federated query execution.
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Designed and implemented ETL pipelines using Azure ADF and Azure Databricks, enhancing data processing efficiency. Skills: Python, Pyspark, Spark, AWS Certification, SQL, SSIS, SSRS, Snowflake, Azure, ETL Development, Datawarehousing, OLAP/OLTP, Data Modeling, Data Architecture, Erwin.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Use of databricks is a must. Insert The Usual Job Description For Data Scientist. Senior Data Scientist with Graph QL experience. Articulates data insights through charts/graphs with clarity in business terminology.
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databricks job Title: data in Plano, TX
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