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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQLAmazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis.
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Amazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
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Demonstrated experience with AWS services such as Amazon EMR, Amazon EC2, Amazon S3, AWS Lambda, AWS Systems Manager, AWS IAM, Amazon RDS, Amazon RedShift, Amazon Athena, Amazon Sagemaker.
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One (1) year direct experience configuring and deploying AWS services like IAM, S3, SageMaker, and SageMaker Studio or similar cloud ML technologies using IAC tools like Terraform and Python.
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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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Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. 5+ years of experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
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Good knowledge of AWS components including IAM security, S3 bucket, EBS, ELB, AWS CloudFormation, Cloudwatch, Redshift and so on. Good knowledge of AWS components including IAM security, S3 bucket, EBS, ELB, AWS CloudFormation, Cloudwatch, Redshift and so on.
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Experience with AWS services (KMS, VPC, LBs, IAM Roles, Firewall, Security Groups, S3,EC2, SQS, SNS, ElastiCache, Workspaces, RDS). Experience with Infrastructure as Code (IAC) and cloud-based technologies (AWS, Terraform, Kubernetes.
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Design, manage and deploy AWS services, including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and CloudWatch while utilizing Infrastructure as Code (IaC) tools, such as AWS CloudFormation and Terraform, to automate the deployment and management of infrastructure resources.
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As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. Client is looking for a Data Engineer to join the Worldwide DEX Team. At client, we are working to be the most Customer-centric company on earth.
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Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc. Coordinate and collaborate with dependent infrastructure and AWS services to implement Snowflake integration with services, such as S3, IAM, SSO, etc.
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Experience with AWS Elastic Beanstalk, Aurora Serverless PostgreSQL + S3 + Glue + Athena + File gateway + IAM + Lambda. Experience with AWS Elastic Beanstalk, Aurora Serverless PostgreSQL + S3 + Glue + Athena + File gateway + IAM + Lambda.
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Familiarity with AWS services (API Gateway, IAM, Lambda, S3, RayX, Aurora) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Familiarity with AWS (EC2, S3, Lambda, IAM, Security Groups, ElasticSearch) Familiarity with AWS (EC2, S3, Lambda, IAM, Security Groups, ElasticSearch) If you authentic self is a foodie who reads version release notes in your spare time, that's a bonus.
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Experience working with AWS cloud technologies such as EC2, ELB, VPC, S3, RDS, Dynamo DB, SQS, SNS, Cloud Formation, Route53, CloudWatch, CloudTrail, IAM and Auto Scaling will be a plus.
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