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Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Big Data Engineer. Good understanding of data pipeline design concepts, Hands-on experience with Postgres and Snowflake, Excellent coding skills in Python, Experience with Apache Airflow and Apache Spark tools, Knowledge of AWS, Experience with CI/CD tools and processes, Good communication skills.
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Als Senior Big Data Engineer arbeitest Du in mehreren Teams mit u.a. Data Engineers, -Architects und -Scientists zusammen, um hochmoderne Data Analytics-Plattformen aufzubauen und zu betreiben.
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Data Enthusiast: Passionate about working with large-scale datasets, highly skilled in SQL and big data tools like Kafka. Data Warehouse Skills: Proficient in Cloud Data Warehouse systems such as Redshift, Snowflake, or BigQuery.
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Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto) Researching on and integrating any big data tools and frameworks required to provide requested capabilities.
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Practical & recent experience in data pipeline development with Big Data frameworks (Databricks, Spark, Kafka), data modelling approaches (Star schema, Snowflake, Data Vault), and Azure Services (Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
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Minimum 6 years of experience in designing and building integration and data solutions for business handling large volumes of data and building scalable systems. Data visualization skills using business intelligence solutions including at least one of Looker, Tableau, Periscope, Pentaho, or Microstrategy.
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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). Realtor.com is seeking a Senior Economist on the Economics Research team with expertise in data-driven storytelling to a variety of audiences, strong analytic instincts, and skills to build models from large data.
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Experience with cloud solutions for Big Data (Snowflake, GCP BigQuery, AWS Redshift) Experience implementing, developing, or maintaining either Data Warehouse, Business Intelligence, or Big Data systems.
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Provides Azure Data Lake for storage, Azure Synapse Analytics (formerly SQL Data Warehouse), and Azure Databricks for big data analytics. 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 big data frameworks and tools, such as Spark, Hadoop, Kafka, Hive, and Airflow. Experience building production systems with more modern ETL and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search.
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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. At least 5+ years of data engineer and/or software development experience.
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With modern data tools and architectures such as (Snowflake, databricks, Big Query, Redshift, etc.) This is a senior level professional with Golden 1 Credit Union, and you will work with leadership or other analysts on highly complex analysis that impact corporate strategy using our data.
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Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.
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Build and maintain big data ETL pipelines using DBT and Airflow. This is an exciting opportunity to work with high volume, high velocity streaming analytical data and to build data pipelines using Google Composer and manage and maintain Data warehouses and Data lakes on Big Query and Snowflake.
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data integration big jobs in Snowflake, AZ
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