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 S3 for 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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