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Experience with NoSQL databases such as mongoDB, Cassandra or similar is a plusMinimum of 4 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, data lake and data warehouse solutionsMinimum of 4 years of hands-on experience in Big Data technologies such as, PySpark, Spark/SparkSQL, Dask or similar distributed compute frameworks.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Biotrack (Seed to Sale) data entry verification and adjustments for Processing Department products. NAV data entry and adjustments for Processing Department products. This position is responsible for compliantly organizing starting materials in METRC, NAV and Google Sheets for the Extractions, Kitchen & Processing Packaging Teams.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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McCain Food’s facility in Rice Lake Wisconsin is a large-scale food processing plant, employing approximately 260 employees. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Privacy Policy Job Family: Manufacturing Division: NA Appetizer Manufacturing Department: Rice Lake Production - 1st shift Location(s) : US - United States of America : Wisconsin : Rice Lake Company: McCain Foods USA, Inc.
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Streamlining data processing experience including formalizing concepts of how to handle lake data, defining windows, and how window definitions impact data freshness.
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Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Storage, Azure SQL, Azure DW) and processing the data in Azure Databricks. Hands on experience working with Azure Cloud services like Azure Data Factory, Azure Data Lake Storage, Azure Even hub, Azure SQL, Azure Analytical services, Azure Cosmos DB.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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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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Extensive knowledge of coding in Python or Scala with a focus on data processing. Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis.
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We build and provide cloud platform and services that are used by data engineering teams and data scientists across Disney Entertainment and ESPN Technology, particularly in processing data related to our streaming and web-based businesses (e.g., data from Disney+, Hulu, ESPN, etc.
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Experience with signal processing on industrial equipment (rotating machinery, reciprocating machinery, hydraulic systems), data driven reliability, and operation efficiency is a plus. Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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lake data processing jobs Title: data engineer Company: Hims Hers
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