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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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Added advantage with hands on experience on Databricks, Snowflake & Palantir. However, Databricks experience is must with either of 2 combinations (Palantir / Snowflake) Hands on in Python and relevant DS python packages (example: NetworkX) , Pyspark, Azure, Databricks.
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Oversee data transformation processes utilizing tools such as Alteryx, Talend, Databricks, SSIS, Informatica, SQL, Python, Spark, Scala, or R. Contribute to data visualization efforts using tools such as Tableau, Power BI, and Looker.
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Implement Azure products and services, including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as conventional data warehouse tools, to create data migration and data engineering solutions.
$125,000 - $190,600 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns - but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI. Understanding of Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube.
$138,100 - $227,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge on Datalake/Cloud Platforms (Azure synapse/GCP Bigquery), ADF, Databricks, Pipeline Creations is a plus. The Data modeler designs, implements, and documents data modelling solutions, which include the use of relational, dimensional, and NoSQL databases.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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 3 days ago - UpvoteDownvoteShare Job
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Must demonstrate expertise in data migration best practices from on-prem to Cloud with technologies like Hadoop and Azure cloud with Databricks platform. Must have extensive hands on experience in designing, developing and maintaining software solutions in Azure cloud working with Databricks platform and Synapse.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of Experience with Machine Learning platforms (AWS Sagemaker, Databricks), Data Pipelines (Spark, Airflow), CI/CD, GitHub, and visualization (Power BI/Tableau). Proficient in analyzing and modeling big data utilizing statistical, machine learning, and deep learning techniques.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Knowledge of Snowflake and Databricks is a must. Experience with Data visualization tools like Tableau, Looker, Power BI. Experience with ETL tools such as Azure Data Factory, Qlik, Matillion.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Nifi, Kafka, Scala, or Java. This is a chance to use your deep OS knowledge and broaden your skill set into areas like Cloud computing, large-scale data ingestion and processing, multiple data store types, including graph data, time series, spatial, and other NoSQL, high performance data streaming, data science, and supporting the integration of novel mission applications and analytics.
ExpandApply NowActive JobUpdated 4 days ago
databricks job Title: data in Plano, TX
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