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Monitor the joint Slack channel with Databricks to encourage rep to rep collaboration. Co-own support materials for various programs and initiatives with Databricks to enhance the top-of-funnel pipeline.
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Lovelytics is seekinga skilled consultant and people leader with experience delivering and leading strategic Databricks and Machine Learning client engagements. In addition to the leadership capabilities for this role, we are looking for someone who has experience solving complex client problems and providing solutions related to NLP solutions, deploying AI & ML systems, data integrations, and data modeling in Databricks.
$135,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years of experience developing scalable Databricks ETL solutions for reporting and analytics. The AI Platform Operations team is responsible for building and maintaining automated Databricks ETL solutions for data products that support our internal and client-facing business leaders.
$75,600 - $172,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement BI solutions using Tableau, SAS, Power BI, and Databricks; knowledge of Epic is considered advantageous. In-depth knowledge of Tableau, SAS, Power BI, and Databricks. Implement BI solutions using Tableau, SAS, Power BI, and Databricks; knowledge of Epic is considered advantageous.
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Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Utilize Databricks Unity Catalog for efficient data governance, ensuring secure access to data assets across multiple teams and compliance with data privacy regulations. This role is tailored for a professional who is well-versed in advanced data architectures, specifically with experience in Generative AI, Unity Catalog, Mosaic AI, and Databricks Model Serving.
$180,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of one or more of the big data compute 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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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks.
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We are seeking an experienced Data Engineer (DataBricks) to join our team! Data Engineer (DataBricks) Experience writing playbooks and scripts for automation tools including Terraform, Ansible, or Puppet for Infrastructure as Code (IaC) and Configuration as Code (CaC.
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DoD8570 IAT II Compliance Certification (Such as Security+, CCNA Security, GSEC, etc.) Define and build required capabilities to achieve the client's vision through improved data strategy and operations.
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The ideal candidate will have a strong background in data engineering, with expertise in Databricks, DevOps tools (Jenkins/Terraform), and data modeling concepts (3NF, Dimensional, Data Vault.
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We provideexpertise in Azure, AWS, GCP, Snowflake, Databricks, and Python. For our sustainable growth, we are seeking for a Databricks Technical Lead who can elevate our Databricks competence center to the next level.
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Proven expertise in AWS services (S3, Redshift, Glue, EMR, Lambda) and Databricks. If you are passionate about data engineering, have a strong background in AWS and Databricks, and thrive in a collaborative and innovative environment, we want to hear from you.
$146,400 - $175,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data Engineering: Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other relevant technologies. Strong proficiency in Databricks for data processing and analytics.
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Hands-on experience with DevOps tools such as Jenkins and Terraform for infrastructure automation. DevOps Integration: Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins and Terraform to automate deployment, monitoring, and scaling of data infrastructure.
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Title: databricks Company: Lovelytics
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