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Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, Cloud Composer, BigQuery, Snowflake). Work with analysts and engineers to help shape and drive the development and application of Google’s internal data infrastructure including warehousing, reporting, and analytics platforms.
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Data warehousing and integration tools (e.g., Fivetran, Apache Spark, Informatica) Data Integration and ELT | Implement and maintain ingest processes from various sources into Snowflake and other data platforms using Fivetran, Astronomer (airflow) and native Snowflake ingest features.
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Data Warehousing, Data modeling, Data mastering, Data quality, ETL, Informatica, Alteryx, MSSQL, Oracle, Teradata, Hadoop, Snowflake, MSSQL, SSIS, SSRS, PowerBI, Tableau, Python, R, Scala, SPARK a další programovací jazyky, reporting, ETL nebo další datové nástroje.
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Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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Experience with data warehousing concepts and technologies, such as ETL, OLAP, and star schema, within the Azure ecosystem. Design and implement data warehousing solutions on Azure, leveraging Azure Synapse Analytics, Azure Data Factory, and other Azure data storage and processing services.
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Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt. Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka.
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Known for BigQuery (data warehousing), Cloud Storage, and Dataflow (stream and batch data processing). Offers a wide range of services such as Amazon S3 for storage, Amazon Redshift for data warehousing, and Amazon EMR for big data processing.
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Experience with cloud-based data platforms and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Partner with the data engineering team to design and maintain scalable data pipelines, ETL processes, and data warehousing solutions.
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The ideal candidate will have extensive experience with AWS Glue, Spark, Python, and Snowflake, with a strong background in data engineering, ETL processes, and data warehousing. Proven experience working as a Data Engineer with a focus on ETL processes, data integration, and data warehousing.
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Data Architecture Leadership : Lead the design, implementation and operation of robust data architecture, ETL/ELT pipelines, and data warehousing strategies using Airflow and AWS cloud services.
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Expertise working with enterprise data warehousing solutions, like Databricks, Snowflake, and BigQuery. Expertise working with enterprise data warehousing solutions, like Databricks, Snowflake, and BigQuery.
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Introducing and maintaining best practices across multiple data engineering disciplines like Data Lakes/Data Warehousing and batch processing, streaming and real-time data processing, API for data-as-a-service, data quality, etc.
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Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery). If you are seeking a stimulating challenge, an opportunity for true ownership, and possess a background in overseeing extensive data engineering and operations, encompassing aspects such as real-time data acquisition, streaming data ingestion, data processing, large-scale data lake management, Enterprise Data Warehousing (EDW), and ensuring low-latency data delivery for both bussiness reporting and analytical use cases - then we are eager to connect with you.
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The position is a part of the GIS Quality team within GIS R2R organization whose scope includes supporting Data Warehousing, Data Integrations, Data Engineering, Workload Automations, Reporting (Models.
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5 years of experience in a similar role using the Microsoft BI stack, experience in designing, building, securing, deploying, and processing Tabular and Multi-dimensional models, proficiency in building dashboards, reports, and cubes using SQL, MDX, DAX, Power BI or other visualization tools, experience with Power BI administration, ETL process design, data warehousing, knowledge of Azure stack and Microsoft PaaS.
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warehousing job in Snowflake, AZ
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