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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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5+ years of data engineering experience leveraging technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks.
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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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Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks. Knowledge of industry-wide technology strategies and best practices Understanding of message queuing, stream processing, and highly scalable 'big data' data stores Solid written and oral communication skills; ability to present ideas in business-friendly and user-friendly language Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
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Experience with PySpark and distributed data processing frameworks. 3-5 years of hands-on experience with processing large data sets required. Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, ADLS etc.
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Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
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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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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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Strong knowledge of data formats such as Parquet, Avro, ORC, XML, JSON, data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks, and AI/machine learning infrastructure needs.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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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. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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lake data processing jobs Title: data engineer Company: Goodrx
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