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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) Architect and design new technical solutions based on requirements and use casesin an Azure Databricks platform.
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Optimize data pipeline performance by leveraging Azure Databricks capabilities. Proven experience as a Solution Architect, specifically in data migration projects from oracle to Azure.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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Databricks - Business continuity / disaster recovery / data backups - Responsible for architecture, design, and development of end-to-end pipelines on Azure using ADF for orchestration and Databricks for writing necessary business logic using PySpark, SQL.
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Experience with data integration and ETL tools, such as Azure Data Factory, Azure Databricks, and Azure Logic Apps. Design and implement data integration solutions, including data ingestion, transformation, and data pipeline orchestration using Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure Logic Apps, Azure Functions.
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These include, but are not limited to 1) the establishing of a Production environment in Databricks, 2) the orchestration of Unity Catalog for future state and scalability of data, 3) contextualized MLops/MLflow expertise and implementation, 4) additional silver and gold layer transformations relevant to business needs for data science, BI tools, Web App integration, etc.
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You will have a technical and business understanding and thought leadership on approaches to industry leading deployments of Data Lakes, Data Warehouses, Data Marts, and the progression of data from raw/bronze to curated/gold environments with an interest in all tools/technologies including Python, Matillion, Snowflake, Databricks and Azure.
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. As a Data and Analytics Architect supporting Claim, you will collaborate with Technology and Business leaders and apply your knowledge of modern technology to influence and innovate solutions that impact the business.
$118,800 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Your deep expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be the cornerstone in architecting a robust data mesh that ensures data is accessible, reliable, and provides actionable insights across the organization.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. Configure custom data pipelines within AWS/Databricks for ingestion into Data Mart.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Azure Data Factory, Azure DevOps, Azure Storage Data Lake, Extraction, Transformation and Loading.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Title -Azure Databricks Delivery ArchitectLocations: Calgary, Vancouver and Edmonton (Hybrid )Job SummaryWe seek a passionate and experienced Managing Solution Architect with a strong background in Azure to lead our cloud initiatives.
ExpandApply NowActive JobUpdated 7 days ago
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