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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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Cloud Platforms: Knowledge of cloud infrastructure and services, preferably Azure, as it relates to Snowflake and Databricks integration. Utilize Snowflake and Databricks for advanced reporting and analytics, providing actionable business insights.
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Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell Scripting. Must have 5+ years of experience in EMR, Databricks, Spark, pyspark programming, Jupyter notebook and shell scripting.
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Data & AI, Data Cloud using Snowflake, Databricks, Azure Synapse, GCP – GBQ or AWS Redshift. Must have 2 plus years of experience in implementation of Data Cloud using Snowflake, Databricks, Azure Synapse, GCP – GBQ or AWS Redshift.
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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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Extensive experience with Apache Spark and Databricks (or similar data processing frameworks). Design, develop, and implement efficient and scalable data pipelines using Apache Spark on Databricks.
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And familiarity with relevant frameworks and libraries for AI and big data, such as TensorFlow, Apache Spark, Databricks or Snowflake. Proven experience with large scale distributed & cloud-based technologies such as Kubernetes, Kafka, MySQL, Databricks, Containers, Snowflake, Splunk, Elastic, and Hadoop.
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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.
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Minimum of 4+ years of experience in data engineering, focusing on DataBricks and/or Snowflake. Technical Expertise: Utilize expertise in DataBricks and Snowflake to design and implement scalable, reliable, and efficient data solutions.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL). Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.
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Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.
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Build CICD for Databricks in Azure Devops. We have an opportunity for Data Architect with Databricks Architect with one of our clients for NYC, NY. Should have Strong experience in architecture and implementing End to End Modern Data Solutions using Azure and advance data processing frameworks like Databricks etc.
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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are.
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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Familiarity with Databricks and/or Snowflake is a plus.
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databricks job in Jersey City, NJ
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