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Candidates having Certification on Snowflake, Python, Data bricks and Azure cloud technologies are preferred. + Stay updated on the latest advancements in data platform technologies and all the rapidly evolving Data, and snowflake Native Apps capabilities, and identify opportunities to incorporate them into CDO customer solutions.
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Working knowledge of Snowflake and dbt for data warehousing and ETL processes. The ideal candidate will have a strong background in utilizing Databricks for data exploration and analysis, alongside working knowledge of Snowflake and dbt.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS. 4+ years of data warehousing experience (Redshift, Snowflake, other.
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Experience is Cloud tech stack (Azure, GCP or AWS), Snowflake, DBT Cloud, Informatica Intelligent Cloud Services (IICS) and other related cloud technologies. Strong understanding of data management practices, data modelling (Kimball, Inman & Data Vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security is required.
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Learn and leverage the latest Snowflake public release features in our CDO Snowflake Team to collaborate on creating leading edge demos, PoC’s, and advanced industry solutions. Knowledge of Snowflake Data engineering best practices around data modelling, evaluation, deployment, and governance.
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Utilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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4+ years experience with Distributed data/computing tools (Glue, Airflow, EMR, ECS Fargate, Kafka, Spark, Aurora, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience: A minimum of 3 years of experience in data engineering with a focus on Snowflake data warehousing. Data Modeling: Proven experience in designing and implementing data models using Snowflake or similar data warehousing technologies.
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Strong experience with data warehousing (e.g. Snowflake (preferred), Redshift, BigQuery, or similar) Expertise in at least one flavor of SQL. (We use Amazon Redshift, MySQL, Athena and Snowflake.
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Primary Job Duties/ Tasks: Strong Data Integration and Data Warehousing experience with Snowflake Data Cloud and Informatica IICS Cloud Data Integration tools. Experience with Informatica IICS Cloud Performance Tuning Experience with Snowflake Data Cloud Performance Tuning Experience with Data Governance products, like EDC, Axon, and CDGC General Knowledge Skills and Abilities (KSAs): The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas: Initiative: Must be able to comprehend assignments, organize workload, and meet deadlines with little direction.
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Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Knowledge of data warehousing concepts and technologies, including star schemas, data marts, and data lakes.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Novice skill level in Python, Agile Frameworks (SAFE), Microsoft Databricks, Snowflake, Azure Data Factory, HDInsight, Hive (Apache), Cognos. Understands data models, large datasets, business/technical requirements, BI tools, data warehousing, statistical programming languages and libraries.
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Utilize programming languages like Java/Scala and Open-Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake. Project is about Data ingestion, warehouse like snowflake-knowledge, data governance, customer/end user support.
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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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