Snowflake Data Engineer

ROLEDESCRIPTION:

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 usingDBT.
• Develop and support ETL/ELT processes using enterprise ETL tools.
• Implement and manage data warehousing solutions usingSnowflake.
• UtilizeAWS S3for data storage and data lake architectures.
• Design and develop serverless data processing solutions usingAWS Lambda.
• Create and maintain data integration workflows usingAWS 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

• Bachelors 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)
  • EnterpriseETL/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.