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Experience with multiple IAC (Infrastructure as Code) Tools such as Terraform, Cloudformation, AWS CDK. Extensive knowledge of ETL development and supporting tools (ETL Tools such as Fivetran, Jitterbit, AWS Step Functions, Apache Airflow, etc.
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Experience writing technical documentation for cloud based software, such as Salesforce, AWS, and Snowflake - 8 yearsPhysical Demands. Experience writing technical documentation for cloud based software, such as Salesforce, AWS, and Snowflake - 8 yearsPhysical Demands.
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Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
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Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering) Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway.
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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 and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Experience with data warehousing using AWS Redshift or Snowflake. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Must have two years' programming experience in at least two of the following: R, Python, SQL.
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3 or more years of experience in development of big data/data lake solutions on Cloud platforms, preferably AWS (S3, Glue/EMR, Athena, AppFlow) or Snowflake. Design, build, and launch collections of high-quality big data/data lake solutions on Cloud platform preferably AWS, Snowflake that support multiple use cases across all departments, all products, and all states.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2+ years of data warehousing experience (Redshift or Snowflake.
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Expert level Knowledge of Cloud platforms such as: AWS, Azure, and related platforms Snowflake, Databricks, etc. Be a thought leader and subject matter expert on enterprise data platforms (Big Data, AWS, Snowflake, EDW, ODS, Mosaic.
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CoDAC Team : We are responsible for building data integration pipelines leveraging AWS services and Scala programming to support Card Partnerships conversions into Capital One Card and Enterprise ecosystems.
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake. Database technologies (e.g. PostgreSQL, Redshift, Snowflake, and Greenplum.
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Familiarity with workflows, systems and technologies to ingest, enrich, store and serve data (e.g. Tableau/Looker/DataStudio; Snowflake/RedShift/BigQuery; Spark/Hadoop/AWS EMR) Familiarity with workflows, systems and technologies to ingest, enrich, store and serve data (e.g. Tableau/Looker/DataStudio; Snowflake/RedShift/BigQuery; Spark/Hadoop/AWS EMR.
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5+ years of experience in application development including Python, SQL, Scala, or Java. 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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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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