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Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools.
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Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering, machine learning and AI solutions for a new flu vaccine manufacturing facility.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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As a Data Engineer, you'll be responsible for building, maintaining, and running reusable metadata and file migration workflows for repositories journals, presses, and conferences moving to Ubiquity’s platform.
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Exposure to natural language processing, image processing techniques, and big data stacks like Hadoop or Apache Spark is highly desirable. Proficient in utilizing big data processing frameworks such as Apache Spark and Hadoop for handling and analyzing large datasets, enabling the extraction of meaningful insights from voluminous data.
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Demonstrating deep understanding of Azure and AWS platforms, including storage (Azure Blob Storage, AWS S3), compute (Azure VMs, AWS EC2), databases (Azure SQL Database, AWS RDS), and big data processing (Azure Databricks, AWS EMR.
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Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
$49 an hourTemporaryExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This architecture includes Databricks, Microsoft Azure platform tools (including Data Lake, and Synapse), and data pipeline/ETL development tools (including Streamsets, and Azure Data Factory.
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Hands-on experience with data migration from on-premise to Snowflake (knowledge of DBT is highly desirable). You’ll be responsible for driving the data engineering efforts, including an ongoing migration from on-premise SQL Server to Snowflake.
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Will be assigned to a main department, however, may be required to support all areas of the distribution center including but not limited to value added services, receiving, returns, damages, picking, packing, transfers, shipping, and overall movement of inventory as business needs dictate with general department tasks.
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Focus is given to discount rate and cost/revenue per student monitoring, leveraging institutional aid to assist in enrollment and retention goals, and fostering a data-driven and collaborative culture across Concordia University.
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Extensive experience in data engineering with a strong focus on Snowflake and Databricks. Stay up to date with emerging technologies and best practices in data engineering, particularly in Snowflake, Databricks, and AI/ML.
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Data Engineer, ETL Developer, Snowflake Developer, ETL Tester , Python, Amazon Web Service(AWS) Cloud Computing, ORACLE SQL. 1 or more years experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure.
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Technical expertise in data platforms and integration tools: Microsoft Fabric, Snowflake, Dataverse, Databricks e. Job Title: Data Integration AnalystLocation: Edmonton, AB - OnsiteEmployment Type: (Full-time or contract)Duration: 12 months (possibility of extension)Job Description: We are seeking a Data Integration Analyst to help build out a data fabric.
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Experience with some of the big data technologies like Apache Spark, Airflow and Databricks. We are seeking to hire an Big Data Developer with strong Java development experience or Scala, Spark, SQL, Apache Airflow or Similar or similar Open Source Platform.
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data job Company: Bedrock Care in Woods-cross, France
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