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Snowflake Data Engineer

Full-time

Purple Drive

ROLE_DESCRIPTION:

Key Responsibilities

  • Design, develop, and maintain robust and scalable data pipelines for data ingestion, transformation, and loading.
  • Build and optimize data models and transformation workflows using  DBT .
  • Develop and support ETL/ELT processes using enterprise ETL tools.
  • Implement and manage data warehousing solutions using  Snowflake .
  • Utilize  AWS S3for data storage and data lake architectures.
  • Design and develop serverless data processing solutions using  AWS Lambda .
  • Create and maintain data integration workflows using  AWS Glue .
  • Work with scheduling and orchestration tools to automate and monitor data pipelines.
  • Ensure data quality, consistency, security, and governance across the data platform.
  • Troubleshoot data-related issues and optimize system performance.
  • Collaborate with data analysts, business stakeholders, architects, and application teams to understand data requirements and deliver effective solutions.
  • Prepare technical documentation and present solutions to technical and non-technical audiences.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in Data Engineering or related roles.
  • Hands-on experience with:
    • Snowflake
    • DBT (Data Build Tool)
    • Enterprise  ETL/ELT tools
    • Scheduling/Orchestration tools (such as Airflow, Control-M, Autosys, etc.)
    • AWS S3
    • AWS Glue
    • AWS Lambda
  • Strong understanding of SQL and data warehousing concepts.
  • Experience designing and optimizing large-scale data pipelines.
  • Knowledge of data modeling, data governance, and data quality best practices.
  • Strong analytical and problem-solving capabilities.
  • Excellent verbal and written communication skills.
  • Strong presentation and stakeholder management skills.

Preferred Qualifications:

  • Experience with cloud-based data platforms and modern data architectures.
  • Knowledge of data lake and data warehouse integration patterns.
  • Experience with CI/CD and DevOps practices for data engineering.
  • AWS or Snowflake certifications are a plus.
  • Experience working in Agile environments.
Vacancy posted 2 days ago
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