We are looking for a highly skilled Senior Data Engineer to join our team for a cloud migration initiative centered on Snowflake. The ideal candidate will have strong expertise in dbt, AWS, Airflow, Python, and advanced SQL. You will play a key role in building, automating, and optimizing data pipelines to ensure high performance and reliability in a modern, cloud-based data ecosystem.

Key Responsibilities

• Design, develop, and maintain data pipelines and transformation workflows using dbt and Airflow.
• Develop and optimize complex SQL queries for data extraction, transformation, and analytics.
• Lead and support data migration initiatives to Snowflake within an AWS environment.
• Collaborate with architects, analysts, and business teams to ensure alignment on data requirements.
• Implement data quality, lineage, and performance monitoring standards.
• Leverage Python for data automation, validation, and process orchestration.
• Contribute to continuous improvement and DevOps practices within the data engineering environment.

Skills & Experience Required

• 5+ years of professional experience as a Data Engineer.
• Proven hands-on experience with Snowflake, dbt, AWS, Airflow, and Python.
• Advanced SQL development and optimization skills.
• Strong understanding of ETL/ELT, data modeling, and data warehousing principles.
• Familiarity with CI/CD pipelines, version control (Git), and infrastructure as code.
• Experience with cloud-based architecture and modern data stacks.
• Strong analytical thinking and problem-solving ability.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Certifications in AWS, Snowflake, or dbt are advantageous.
• Experience with containerization (Docker, Kubernetes) is a plus.

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