ETL/ Data Warehousing Developer

3 weeks ago

Plano, United States AA SOFTWARE & NETWORKING PRIVATE LIMITED Full time

Job Title: ETL/Data Warehousing Developer

Job Location: Plano, TX

Job Type: W2 Only


Job responsibilities:


  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies.
  • Adds to team culture of diversity, equity, inclusion, and respect.


Required qualifications, capabilities, and skills:


  • Formal training or certification on software engineering concepts and 3+ years applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability, especially in ETL and Data Warehouse systems.
  • Proficient in coding in one or more languages: JAVA, Python, PySpark, or Spark.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
  • Overall knowledge of the Software Development Life Cycle.
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).


Preferred qualifications, capabilities, and skills:


  • Familiarity with modern front-end technologies.
  • Exposure to cloud technologies and tools like AWS, Databricks, Glue, NiFi etc.

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