Data engineer
2 semanas atrás
Required Skills & Experience - 6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, analytics. - 4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards. - Experience with data warehousing platforms such as Snowflake, Redshift or similar. - Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups. - Experience with DB technologies (e.g., SQL, Python, Postgre SQL, AWS Aurora, AWS RDS, Mongo DB, Redis). - Experience with CI/CD tools, pipelines, and scripting for automation. (Git Hub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation and Terraform). - High degree of knowledge in IAM Roles and Policies - Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability. - Strong scripting experience using Power Shell and/or Python. - High degree of knowledge in Paa S and Saa S application performance. - Understand enterprise level application architecture diagrams and IT security requirements. Nice to Have Skills & Experience - Experience with large scale enterprise streaming services such as Kafka. - Experience with Kubernetes and Docker containers or AWS Fargate. - Experience implementing applications with both Windows and Linux server OS - Experience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or Windows - Advance CS degree. Job Description We are looking for highly motivated AWS expert who excited about leveraging his skills and his strategic ideas to improve mission execution, who is passionate about creating an amazing user experience that delights end-users and makes their jobs easier. This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them. - Provides expert guidance to projects to ensure that their processes and deliverables align with the company's target state architecture. - Design and develops enterprise data solutions based on architecture and standards leveraging leading architecture practices and advanced data technologies. - Implement solutions for data migration, data delivery and ML pipelines. - Implement Identity Access Management Roles and policies. - Build resilient, reliable, performant and secure Data Platform and Applications. - Work closely with application development and data engineer teams on day-to-day tasks along with project planning and implementation. - Automate deployments of AWS services and BI Applications.
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