AWS Data Engineer

Job Title: AWS Data Engineer

Location:Remote

Duration: 6 Months + Extension

Bill Rate: $700/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorisation:

• USC
• GC
• H-1B
• OPT-EAD
• GC-EAD
  

  Job Description :
  

  PURPOSE:
  As a Senior Cloud Data Engineer, you will work on the creation of Enterprise Data Platform for Client.

  As a valued member of Data Platform Architecture team, you will work on shaping and building new analytical solutions to deploy in support of our internal clients,

  you ll help to create solutions to drive the next wave of innovation.

  You ll recommend tools and capabilities based on your research of the current environment and knowledge of various on-premises, Cloud-based, and hybrid resources.

  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.

  • Provides expert guidance to projects to ensure that their processes and deliverables align with the Client 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

  Technical Qualifications:

  • 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, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis).
  • Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub 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 PowerShell and/or Python.
  • High degree of knowledge in PaaS and SaaS application performance.
  • Understand enterprise level application architecture diagrams and IT security requirements.
  • Very Strong experience using Snowflake native pipelines, Snowflake native app including Streamlet, Python based Container services.
  • Experience using AI, including Snowflake Cortex AI capabilities.
  • Good knowledge in application and backend API development using object-oriented programming (Python, Java, Go, TypeScript/JavaScript).
    Equal opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.