Lead\Architect Data Engineer Offline

Job Summary:
We are seeking a highly skilled part-time Lead\Architect Data Engineer to design, develop, and optimize our Data Warehouse solutions. The ideal candidate will have extensive experience in ETL/ELT development, data modeling, and big data technologies, ensuring efficient data processing and analytics. This role requires strong collaboration with Data Analysts, Data Scientists, and Business Stakeholders to drive data-driven decision-making.

 

Key Responsibilities:
 

  • Design, develop, and maintain scalable data warehouse solutions.
  • Build and optimize ETL/ELT pipelines for efficient data integration.
  • Design and implement data models to support analytical and reporting needs.
  • Ensure data integrity, quality, and security across all pipelines.
  • Optimize data performance and scalability using best practices.
  • Work with big data technologies such as  Redshift.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
  • Implement CI/CD pipelines for data workflows.
  • Monitor, troubleshoot, and improve data processes and system performance.
  • Stay updated with industry trends and emerging technologies in data engineering.

     

Required Qualifications:
 

  • 7+ years of experience in Data Engineering field and at least 1+ years of experience as Lead\Architect.
  • Strong expertise in SQL and data modeling concepts.
  • Hands-on experience with Airflow.
  • Experience working with Redshift.
  • Proficiency in Python for data processing.
  • Strong understanding of data governance, security, and compliance.
  • Experience in implementing CI/CD pipelines for data workflows.
  • Ability to work independently and collaboratively in an agile environment.
  • Excellent problem-solving and analytical skills.

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