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Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft. Experience with Salesforce, AWS Redshift, Snowflake, Informatica, Tableau, MuleSoft.
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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR/Spark, Glue, Datasync, CloudHealth, CloudWatch, Lambda, Athena, and Redshift.
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Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake). Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake.
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AWS, Python, IAC, Infrastructure as Code, CloudFormation, CDK, Redshift, Glue, Lambda, DMS, Storage Gateway, Transfer Family, S3, Redshift, SQL, Terraform. We are looking for a bright, enthusiastic Cloud Engineer to be part of a lean team responsible for the maintenance and optimization of our AWS Data Lake infrastructure, including AWS Redshift, DMS, Glue, Storage Gateway, Transfer Family, Lambda, and S3.
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Proven work experience as a Data Analyst, Data Engineer , Database Developer, Data Architect, Business Analyst or similar role. Our client is seeking a skilled Enterprise Data Analyst (Healthcare Domain) to join their dynamic team.
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10+ years in software development and 5+ years building ETL pipelines and data infrastructure (e.g. Redshift, Snowflake, BigQuery, Databricks) You have extensive experience building solutions on AWS (Redshift, RDS, S3, Glue, Data Pipeline, QuickSight, Lambda, Cloudwatch, etc.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue. Proven experience in building data pipelines and database applications Strong coding and scripting experience with Python, PowerShell or similar languages.
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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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Data & AI, Data Cloud using Snowflake, Databricks, Azure Synapse, GCP - GBQ or AWS Redshift. Must have 2 plus years of experience in implementation of Data Cloud using Snowflake, Databricks, Azure Synapse, GCP - GBQ or AWS Redshift.
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Database technologies (e.g. PostgreSQL, Redshift, Snowflake, and Greenplum) Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake.
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Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt. Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
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Minimum experience of 5 years with relational databases such as Oracle, SQL Server, Sybase, RedShift. Coordinate with multiple NGA systems entities, including (but not limited to) Open Data Store (ODS), OCONUS Data Center (ODC), NSG Consolidated Libraries (NCL), NGA Gateway, GRiD, and IC GIS Portal.
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Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies. Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies.
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