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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau. Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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A strong understanding of cloud concepts and familiarity with common standards and tools used in cloud computing on Amazon Web Services (such as - EC2, CloudFormation, VPC, EMR, S3, DynamoDB, Lambda, API Gateway) and Azure.
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6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Direct experience configuring and deploying AWS services like IAM, S3, and SageMaker or similar cloud ML technologies using IAC tools like Terraform and Python. Direct experience configuring and deploying AWS services like IAM, S3, and SageMaker or similar cloud ML technologies using IAC tools like Terraform and Python.
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Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
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2 or more years of AWS Experience with multi account topology and the following components (EKS, RDS, ECR, NLB, EC2, S3, IAM). 2 or more Years of open-source cloud provisioning tools in production cloud environments using Terraform.
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Experience with S3 buckets within AWS - setup, maintenance, access, and security. Halvik is seeking an experienced AWS Cloud Java Developer with Artificial Intelligence experience to join our team.
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Experience of AWS services like EC2, S3, Glacier, ELB, RDS, Redshift, IAM, Route 53, VPC, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, Security Groups. Lead CI/CD and operational automation on various enterprise technology platforms Linux, Windows, AWS, containerization orchestration(Openshift/Docker) over technology assets like ETL, Databases (SQL, Oracle), microservices, Java services, scripts, python, terraform.
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Desired Cloud exposure to AWS, AWS EC2, AWS S3, AWS, RedShift, Lambda and Azure. Desired Cloud exposure to AWS, AWS EC2, AWS S3, AWS, RedShift, Lambda and Azure. Understanding and ability to develop/script in one or more of the following languages: XML, Java Script, JSON, Perl, Python, PowerShell, BASH.
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Working knowledge some or all of AWS EC2, S3, VPC, IAM, RDS, EKS, Route53, Lambda, and Auto-scaling services. This will be a fully remote summer internship, beginning May 28th and ending August 2nd.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 4 days ago
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