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Must be Proficient in Azure, Azure Data Factory, DataBricks, SQL, Python, and Snowflake. Key Responsibilities:Design and develop data pipelines, ETL processes, and data models using Azure, Azure Data Factory, and DataBricks.
$200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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4+ years of experience with Microsoft SQL Server, including SSIS, SSRS, and SSAS or with Azure data tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. What you will be doing: Design and implement scalable, efficient, and secure data warehouse architectures using Microsoft SQL Server, Azure Data Factory, Azure Databricks, and other Microsoft data tools.
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Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Senior Manager, Solution Architect - Product Engineering Project Omnia. Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.) Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions), Ernst & Young LLP, Tampa, FL. Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (, Azure, Databricks, GCP, Cloudera, etc.
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Comprehensive knowledge in database technology like Oracle SQL Server, Modern DM environments (Snowflake, Redshift, etc), Databricks, etc. Comprehensive knowledge in database technology like Oracle SQL Server, Modern DM environments (Snowflake, Redshift, etc), Databricks, etc.
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Good to have knowledge of Databricks Lakehouse, Delta Lake, Delta live Tables (DLT) Good to have knowledge of Databricks Lakehouse, Delta Lake, Delta live Tables (DLT) Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Experienced using Databricks & Apache Spark. Experienced using Databricks & Apache Spark. 4 Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Data warehousing (Databricks, Snowflake, Redshift, BigQuery) - Lake houses (Databricks, Delta Lake) Data warehousing (Databricks, Snowflake, Redshift, BigQuery) This person will serve as a trusted counsel for me (Head of HR Data Engineering), my CDO (Chief Data Officer) and my directs (Engineering Managers) – He/She will be trusted to look at our Data Transformation roadmap and provide feedback & suggestions.
$80 an hourTemporaryExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Azure products: Databricks, Data Lake Storage, Log Analytics, Power BI Embedded, App Service, Functions, Kubernetes Service, Key Vault, SQL, Redis, Application Insights, Data Analytics, Lakehouse and APIM.
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Data engineering tools (Airflow, Beam, Spark) At a high level, we are looking for a seasoned Data Strategy, Architecture & Engineering professional with deep and varied experience in the field of Enterprise Data Engineering & solutioning including Cloud hosted solutions, Data Warehousing, Data Lake and Lakehouse models.
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Create infrastructure for AWS and Databricks using Terraform : S3, IAM roles, Instance Profiles, KMS Keys. Experience using Databricks APIs with tools like Postman. Manage and maintain role-based access to data and features in the Databricks Platform using Unity Catalog.
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databricks job in Tampa, FL
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