eTeam
Data Engineer-2
eTeam, Plano, Texas, us, 75086
Responsibilities:
Extensive experience in designing, configuring, deploying, managing and automating AWS Core Services like S3, IAM, EC2, Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC. Experience in automating cloud deployments using Terraform and Python Experience in DevOPS, administering the deployment, management, and monitoring of applications deployed on AWS via CI/CD. Maintaining the Jenkins pipeline and Perform code promotions through change management Experience in AWS data platform services like Redshift, DynamoDB, Databricks, Glue, MLops and Athena. Ensuring the compliance of the data science operations on AWS. Monitoring usage, cost, and implement optimizations of a variety of AWS resources. Provision DynamoDB tables with encryption and grant access using the IAM policies Deploy and manage AWS Serverless application running on API Gateway and LAMBDA Deploy Redshift Clusters into VPC with encryption, enable cross region snapshots, configure subnet groups and setup monitoring, and resize the cluster using elastic and classic methods Manage Denodo VDBs, address performance issues, support onboarding of new apps and datasets Manage Denodo stored procedures, healthchecks, HA setup, and address connectivity issues. Provide detailed capacity assessment on a regular basis for Denodo, Redshift, and Databricks.
Required Skills:
AWS (experience mandatory): S3, IAM, EC2, Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC Automation (experience mandatory): Terraform and Python Bigdata (Experience with atleast 2): Denodo, Redshift, DynamoDB, Databricks, Glue, and Athena. DevOPS (Mandatory): GitHub Actions, Python/Shell scripting
Extensive experience in designing, configuring, deploying, managing and automating AWS Core Services like S3, IAM, EC2, Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC. Experience in automating cloud deployments using Terraform and Python Experience in DevOPS, administering the deployment, management, and monitoring of applications deployed on AWS via CI/CD. Maintaining the Jenkins pipeline and Perform code promotions through change management Experience in AWS data platform services like Redshift, DynamoDB, Databricks, Glue, MLops and Athena. Ensuring the compliance of the data science operations on AWS. Monitoring usage, cost, and implement optimizations of a variety of AWS resources. Provision DynamoDB tables with encryption and grant access using the IAM policies Deploy and manage AWS Serverless application running on API Gateway and LAMBDA Deploy Redshift Clusters into VPC with encryption, enable cross region snapshots, configure subnet groups and setup monitoring, and resize the cluster using elastic and classic methods Manage Denodo VDBs, address performance issues, support onboarding of new apps and datasets Manage Denodo stored procedures, healthchecks, HA setup, and address connectivity issues. Provide detailed capacity assessment on a regular basis for Denodo, Redshift, and Databricks.
Required Skills:
AWS (experience mandatory): S3, IAM, EC2, Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC Automation (experience mandatory): Terraform and Python Bigdata (Experience with atleast 2): Denodo, Redshift, DynamoDB, Databricks, Glue, and Athena. DevOPS (Mandatory): GitHub Actions, Python/Shell scripting