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Build CICD for Databricks in Azure Devops. Experience In extracting logic and from on prem layers, SAP, ADLS into Pyspark/ADLS using ADF/Databricks. Experience in Native Spark Migration to Databricks.
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2+ years’ expertise in Databricks, Apache Spark, Snowflake and/or similar data processing frameworks. Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark-based solutions, and enhance data integration and analytics capabilities.
$150,900 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Write sophisticated and efficient code to transform raw data sources into easily accessible models by coding across several languages and tools such as SQL, Python, Spark, Databricks, Airflow, Azure, AWS, etc.
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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Prototype and rapidly iterate on new features and applications using Python, SQL, Databricks, DBT, and AWS tools. Expertise in Python, SQL, and familiarity with AWS tools, Databricks, and DBT.
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Data lake houses (Databricks or Snowflake) Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Expert on Databricks platform - DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog, Dashboards.
$137,000 - $214,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Expertise in Data Lakehouse architecture and end-to-end Databricks techniques including Data Science components. Proven in-depth experience in creating ETL pipelines using Databricks, Spark, Python, SQL, Scala, Kafka, Presto, Parquet, Streaming, events, bots, AWS/cloud ecosystem.
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Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of Databricks, Snowflake is an added advantage. Seasoned Big Data Engineer with 8-12 years of Industry experience. As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices.
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Brands such as Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks to automate L1 support, enhance the employee experience, and navigate critical business initiatives. Design and develop Moveworks’ foundational data models, data warehouse, real-time and offline processing pipelines using AWS EMR Spark, Apache Kafka, AWS Athena, Snowflake, Airflow, Apache HUDI, etc.
$200,000 - $249,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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More than 9,000 organizations worldwide including Comcast, Cond Nast, and over 50% of the Fortune 500 rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe.
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Working experience with the Databricks. We are looking for an experienced Sr. Staff Data Engineer proficient in data infrastructure operations, automation, and management, in addition to traditional data engineering responsibilities.
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Use tools such as Apache Spark/Scala, Apache Flink Hadoop Mapreduce, Snowflake, Databricks, Airflow, Jenkins, C/CD and other in-built solutions & frameworks. Work with internal stakeholders to understand their data need and drive the design and implementation of Zoom’s next-gen big data enablement.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. 8+ years of proven track record as a data engineer.
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databricks job Title: data engineer in Sunnyvale, CA
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