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Experience with Amazon S3, Redshift, EMR and Scala. Experience in architecting data engineering pipelines/data lakes within cloud services (AWS, GCP etc. Experience with migrating on-prem legacy database objects and data to the Amazon S3 cloud environment.
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Any experience with AWS, S3, Databricks, Snowflake, PySpark is preferred. Proficiency with cloud environments such as Snowflake, Microsoft Azure, Google Cloud, and AWS. Any experience with AWS, S3, Databricks, Snowflake, PySpark is preferred.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. 3+ years of experience with Cloud based technologies – Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc.
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3+ AWS Experience (S3, EKS, ECS, Docker/Kubernetes) - all cloud native applications that they'll be working on, so must be very comfortable with AWS. 3+ years of hands-on experience with AWS services such as S3, EKS, ECS, Docker, and Kubernetes.
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Experience with AWS (e.g., KMS, Lambda, CloudTrail, CloudWatch, GuardDuty, EC2, S3, Amazon RDS). Knowledge of AWS Identity & Access Management (IAM) capabilities. Skills and CompetenciesExcellent knowledge of Hybrid Cloud Infrastructure – Compute – Amazon Elastic Compute Cloud (EC2), Virtual Machines (VM’s), SQL – Amazon Relational Database Service (AWS RDS) or Azure SQL, Security Groups, Subnets, firewalls etc.
$118,549.5 - $162,130 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages such as 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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Exposure or experience in cloud technologies, such as Amazon Relational Database Service (RDS), Elastic Compute Cloud (EC2), Elastic Load Balancer (ELB), Cloud Watch, Simple Storage Service (S3), Elastic Block Storage (EBS), Simple Queue Service (SQS), Simple Notification Service (SNS), Lambda, Auto Scaling, Multiple Available Zones, Active-Active.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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3+ years of hands-on experience in AWS and Big Data technologies such as S3, Lambda, LakeFormation, DMS, Kinesis, Kafka, Redshift, RDS, Aurora, Neptune, DynamoDB, ECS, Glue, DataBrew, Python, R-Studio, SageMaker, Spark/SparkSQL, Eventbridge, as well as programming in Python, Java, Spark, SQL, Unix shell/Perl scripting, etc.
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4+ years of proven AWS experience, specifically with network systems, Route53, RDS, ECS/Fargate, ALB, Cloudfront, Lambda, and S3. Experience using Terraform and AWS CDK. Your initial projects will range from auditing and improving the security of our AWS infrastructure (network, IAM, secrets management) to validating and improving our overall security and infrastructure best practices.
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Lead Software Engineer, Full Stack (Java/AWS) 4+ years of experience with AWS, GCP, Azure, or another cloud service. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
Part-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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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.
$17Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong experience with Python web frameworks (Flask, FastAPI, Django), REST APIs, and libraries such as SQLAlchemy, Pandas, and NumPy. Proven experience in cloud development, management, and provisioning, specifically on AWS. In-depth knowledge of AWS services such as API Gateway, Lambda, SNS, SQS, S3, and EC2/ECS. Excellent problem-solving skills, with the ability to design and implement efficient and scalable solutions.
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Must have knowledge/experience with the following AWS technologies: VPC, EC2, EBS, S3, Network (ENA, IGW, DXGW, TGW, DNS, etc.) Lead the day-to-day Administration, Management, Monitoring, and System Lifecycle Management of AWS Full Stack of Infrastructure Solutions.
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ECS, EC2, S3, AWS lambda, auto-scaling, ELB, SNS, EBS, Cloud Watch, and IAM for cloud development; deploying AWS services using AWS CFT. to troubleshoot application memory and performance, and application throughput using profiling tools.
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