REMOTE: Lead AWS Data Engineer

Experis

Orlando Florida

United States

Information Technology
(No Timezone Provided)

REMOTE: Lead AWS Data Engineer

No third party vendors- W2 only candidates need apply

Open to remote. Candidates must be willing to work EST hours

ROLE: Lead AWS Data Engineer will build, enhance and maintain data validation solution for validating the integrity of data being migrated to AWS/Snowflake from our on-premise data sources.

Required skills:

  • Broad knowledge in multiple technology areas (servers, network, storage, security etc.), - preferably AWS
  • AWS: networking (VPC, security groups, TGW connectivity to on prem), IAM, ec2, lambda, step function
  • Experience with ADO
  • Experience with Python, Terraform, Git, ADO CI/CD
  • Knowledge of Agile/SCRUM methodologies
  • Leadership in design and code reviews
  • Solid understanding of Infrastructure as Code (IAC)
  • Experience with SQL
  • Experience deploying using IAC
  • Experience with Cloud and CI/CD - integrating monitoring and testing capabilities into Cloud and CI/CD offerings
  • Fluency in version control and branching methodologies using various tools

Day-to-Day Responsibilities:

  • Leads efforts with customers to build a wide variety of data infrastructure solutions. Interfacing with traditional RDBMS, NoSQL systems, object stores such as S3, HDFS, or Pub/Sub systems.
  • Creates solutions for data validations. This includes the orchestration, data pipelines, and infrastructure as code solutions the Data Engineering team builds.
  • Coaches and guides others in constructing, maintaining, and supporting test harnesses, test data generators, and analysis tools.
  • Reviews progress with Solutions Architect, Project Manager or Service Manager to address testability issues.
  • Analyzes production defects and creates improvement plans to decrease production escapes.
  • Analyzes and guides others in administering, modifying, or maintaining the effectiveness of test assets for project or platform activities.
  • Provides guidance for testing systems or system components utilizing various testing methods.
  • Partners with application teams to integrate validation framework into applications (internal and external facing applications).

EDUCATION AND/OR EXPERIENCE:

  • Education and/or experiences listed below are the minimum requirements for job entry.
  • Bachelor's Degree or higher in an Information Technology discipline or related field of study and minimum of five years of work experience designing, programming, and supporting software programs or applications.
  • In lieu of degree, minimum of six years related work experience designing, programming, and supporting software programs or applications may be accepted.

REMOTE: Lead AWS Data Engineer

Experis

Orlando Florida

United States

Information Technology

(No Timezone Provided)

REMOTE: Lead AWS Data Engineer

No third party vendors- W2 only candidates need apply

Open to remote. Candidates must be willing to work EST hours

ROLE: Lead AWS Data Engineer will build, enhance and maintain data validation solution for validating the integrity of data being migrated to AWS/Snowflake from our on-premise data sources.

Required skills:

  • Broad knowledge in multiple technology areas (servers, network, storage, security etc.), - preferably AWS
  • AWS: networking (VPC, security groups, TGW connectivity to on prem), IAM, ec2, lambda, step function
  • Experience with ADO
  • Experience with Python, Terraform, Git, ADO CI/CD
  • Knowledge of Agile/SCRUM methodologies
  • Leadership in design and code reviews
  • Solid understanding of Infrastructure as Code (IAC)
  • Experience with SQL
  • Experience deploying using IAC
  • Experience with Cloud and CI/CD - integrating monitoring and testing capabilities into Cloud and CI/CD offerings
  • Fluency in version control and branching methodologies using various tools

Day-to-Day Responsibilities:

  • Leads efforts with customers to build a wide variety of data infrastructure solutions. Interfacing with traditional RDBMS, NoSQL systems, object stores such as S3, HDFS, or Pub/Sub systems.
  • Creates solutions for data validations. This includes the orchestration, data pipelines, and infrastructure as code solutions the Data Engineering team builds.
  • Coaches and guides others in constructing, maintaining, and supporting test harnesses, test data generators, and analysis tools.
  • Reviews progress with Solutions Architect, Project Manager or Service Manager to address testability issues.
  • Analyzes production defects and creates improvement plans to decrease production escapes.
  • Analyzes and guides others in administering, modifying, or maintaining the effectiveness of test assets for project or platform activities.
  • Provides guidance for testing systems or system components utilizing various testing methods.
  • Partners with application teams to integrate validation framework into applications (internal and external facing applications).

EDUCATION AND/OR EXPERIENCE:

  • Education and/or experiences listed below are the minimum requirements for job entry.
  • Bachelor's Degree or higher in an Information Technology discipline or related field of study and minimum of five years of work experience designing, programming, and supporting software programs or applications.
  • In lieu of degree, minimum of six years related work experience designing, programming, and supporting software programs or applications may be accepted.