Data Engineer - Snowflake, dbtCore/Cloud, AWS

Data Pipeline Development: Lead the design and implementation of high-performance data pipelines using tools like dbt Core/Cloud, ensuring scalability and maintainability.

Code Ownership: Write and maintain clean, reusable code in SQL, Python, Shell, and Terraform.

Quality & Governance: Champion data quality, governance, and cataloging practices; create and review test plans to validate data solutions.

Issue Resolution: Perform root cause analysis and implement effective solutions for complex data issues.

Agile Delivery: Lead agile ceremonies, foster a delivery-focused mindset, and ensure timely execution of data initiatives.

Mentorship: Guide and mentor Data Engineers and project team members, elevating team capabilities and engineering excellence.

Collaboration: Work closely with architects, designers, QA engineers, and delivery teams to ensure cohesive and customer-centric data products.

Documentation: Produce and maintain comprehensive technical documentation to support implementation and knowledge sharing.

Extensive Experience:

6+ years of professional experience delivering over 5 high-impact data projects from inception through warranty.

3+ years of Snowflake, dbtCore/Cloud, and AWS Cloud Technologies.

3+ years of experience with coding in multiple programming languages such as Python, Java, etc.

Technical Expertise: Deep knowledge of relational databases (Snowflake, PostgreSQL, Amazon Aurora), big data platforms (Hadoop), and NoSQL databases (e.g., MongoDB).

Data Visualization Proficiency: Skilled in tools such as Snowsight, Streamlit, Qlik, and SAP BusinessObjects to communicate insights effectively.

Advanced Coding Skills: Expert-level proficiency in SQL, Python, Shell, and Terraform, with a strong focus on performance, reusability, and maintainability.