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eBusiness Technologies Corp.

Senior AWS Data Engineeer

eBusiness Technologies Corp., Mckinney, Texas, United States, 75070

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Overview Senior Recruitment Manager @ Ebusiness Technologies Inc. with expertise in full-cycle recruiting and negotiation.

McKinney, TX

Hybrid 3 Days a week

F2F Interview

Long Term Contract

Qualifications

Bachelor's degree in Computer Science/Engineering, Information Systems or equivalent work experience in a technical position.

3+ years of experience in Software Engineering primarily using

Python, and AWS architectures .

Proven experience in building cloud applications and deploying with understanding of CI/CD processes.

Strong coding and scripting experience with Python and SQL.

Experience of implementing Airflow in AWS (MWAA) will be a plus.

Prior domain experience of Life Insurance, Annuity or Financial Services is a plus.

AWS Certifications are considered a

strong plus .

Excellent verbal and written communication skills.

Ability to work independently and as part of team.

Strong programming knowledge and experience with Python.

Specific working experience with primary AWS Services including Lambda, Glue, EventBridge, SQS, AWSCLI, S3, Redshift.

Experience with a variety of services such as Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS, SES etc.

Extensive hands-on experience including design and implementation across broad range of database services on Amazon Web Services (AWS).

Solid understanding of various Data Management and Data Pipeline tools available in AWS.

Experience building and deploying applications using the AWS CDK.

Experience with Airflow, and with the administering and configuring Amazon Managed Workflows for Apache Airflow (MWAA).

Experience in creating and deploying CloudFormation Templates (CFTs).

Experience with Lifecycle Management of S3 Buckets.

Clear Understanding of Cloud Databases Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users, and permissions.

Good Understanding of AWS Encryption methodologies and AWS KMS Services.

Experience with database performance testing and capacity planning.

Working knowledge and experience with software development life cycle (SDLC) and agile/iterative methodologies.

Knowledge of AWS Machine Learning Offerings, knowledge bases and Bedrock will be a plus.

Application development and deployment experience with AWS, CI/CD pipelines, Git, and related techs.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

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