ETL Developer

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profile Job Location:

Wayne, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

Role : ETL Developer

Location: Wayne PA (onsite )

Responsibilities:

  • The senior ETL developer should be able to translate business requirements into technical specifications.
  • Ensure timely and high-quality execution of data projects.
  • Design build and maintain scalable data pipelines and ETL processes.
  • Develop and optimize data models for analytics and reporting.
  • Stay current with emerging technologies and recommend adoption where appropriate.
  • Conduct code reviews enforce best practices and ensure adherence to corporate standards.
  • Collaboration & Advisory Partner with data operation engineer system analysts and data architect to design scalable data solutions.
  • Provide guidance on best practices for data architecture storage and processing.
  • Contribute to documentation standards and knowledge sharing across the team.

Required:

  • Bachelors or masters degree in computer science Data Engineering or related field
  • 5 years of experience in ETL development.
  • Experience managing offshore or distributed teams is strongly preferred
  • Strong proficiency in SQL and experience with ETL/ELT tools (e.g. DBT Talend Matillion Informatica custom Python scripts)
  • Hands-on experience with cloud data platforms (e.g. Snowflake Azure Synapse Redshift)
  • Knowledge of CI/CD practices and version control (e.g. Git)
  • Strong understanding of ETL/ELT processes data warehousing and data modeling
  • Strong problem-solving skills and a proactive approach to identifying and resolving issues
  • Excellent communication skills to manage cross-functional and cross-cultural teams
  • Knowledge of Python or other scripting languages for automation
  • Familiarity with monitoring tools
  • Experience working in Agile or DevOps environments
Role : ETL Developer Location: Wayne PA (onsite ) Responsibilities: The senior ETL developer should be able to translate business requirements into technical specifications. Ensure timely and high-quality execution of data projects. Design build and maintain scalable data pipelines and ETL ...
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