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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. 1+ years of data warehousing experience (Redshift or Snowflake.
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4+ years of data warehousing experience (Redshift or Snowflake) Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of data warehousing experience (Redshift or Snowflake) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Experience with ETL and related tools (Talend, Informatica, Snowflake) Experience with AWS database services like AWS Aurora, DynamoDB, DMS, RedShift. Sensor systems integration: inertial, positioning (GPS/RFID), laser scanners, imaging (line scan, area scan, thermal), Ultrasonic, ground penetrating radar, LIDAR.
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Experience working with Data Warehouse technologies (e.g. Redshift, Snowflake) The Data Solution Architect must have familiarity with traditional data technologies (Data Warehouse, Data Lake) as well as transformative capabilities such as Data Lakehouse, Data Fabric, and Data Mesh in order to define go-forward strategies which are compliant for US Govt clients - including addressing Federal Cloud security requirements, data privacy, data security, and data integration approaches which are approved for US Govt use.
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