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The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake. Disaster recovery strategies for Databricks environments, ensuring data resilience and minimal downtime in case of failure.
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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) Supporting the data organization through Azure Databricks admin tasks.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience working job orchestration (eg., Airflow / Databricks Workflows) Experience with Compute technologies like EMR and Databricks. Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc.
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Join us in a dynamic role as a Databricks data engineer, where you'll dive deep into the heart of cutting-edge data infrastructure within Azure's cloud environment. A solid foundation with at least 8 years of experience in IT, with 3+ years dedicated to hands-on data engineering using Databricks.
Full-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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We are seeking an experienced Data Engineer (DataBricks) to join our team! Data Engineer (DataBricks) 3+ years of experience developing scalable Databricks ETL solutions for reporting and analytics.
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Audit Management, Databricks Platform, Databricks Unified Data Analytics Platform, Data Integrity, Data Presentations, Data Science, Internal Controls, Microsoft Azure, Microsoft Power BI, Operating Effectiveness, People Management, Python (Programming Language), Risk Based Auditing, Risk Management and Mitigation, Scientific Data Analysis, Technical Leadership.
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Develop in data technologies such as T-SQL, Microsoft Azure Data Factory, Databricks. Proficient in Databricks, Microsoft T-SQL, SSIS, ADF, Visio, Word, Excel, Outlook, PowerPoint and Azure DevOps (will train.
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The technology stack of this CSR data product build is Azure SQL Datawarehouse, Python, Databricks, and Azure Datalake at a high level. -Experience with Azure Data Factory, Databricks, or Mlflow.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Good to have experience in Azure/AWS Databricks. Technology|Analytics - Packages|Python - Big Data, Technology|Cloud Integration|Azure Data Factory (ADF), Technology|Data on Cloud-DataStore|Snowflake.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Hands-on experience & understanding designing, building, and maintaining complex ETL pipelines using Snowflake, Databricks, Kafka, and AWS Glue.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with Azures PaaS offerings such as Purview, Databricks, Azure Data Lake Storage, Data Factory as well as monitoring of the environments. Implement data engineering, ingestion, and curation functions on Azure cloud using Azure native programming.
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databricks job Title: data
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