AWS Architect - DataBricks

Overview

On Site
$100,000 - $145,000
Full Time
No Travel Required

Skills

Amazon Web Services
Databricks
ETL
Data Warehouse

Job Details

AWS Architect - Databricks
Plano Texas
Fulltime

Required Qualifications:

  • At least 7 years of Information Technology experience.

  • At least 6 years of hands-on experience in architecting solutions on AWS, Databricks, Spark and Object Store.

  • Good experience in end-to-end implementation of data warehouse and data marts.

  • Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design.

  • Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads.

  • Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, and Jenkins.

  • Experience designing and implementing complex solutions for distributed systems.

  • Experience in leading and mentoring teams.

  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

Preferred Qualifications:

  • Good understanding of data integration, data quality and data architecture

  • Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data

  • Strong knowledge and hands-on experience in SQL, Unix shell scripting

  • Skilled in scripting languages including Python, Bash, and PowerShell

  • Familiarity with log and monitoring solutions

  • Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice

  • Good understanding of Agile software development frameworks

  • Strong communication and Analytical skills

  • Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams

  • Experience and desire to work in a global delivery environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.