- Implement efficient ETL/ELT processes using DBT and orchestration tools like Apache Airflow.

- Collaborate with data analysts, product teams, and stakeholders to gather requirements and deliver effective, data-driven solutions.

- Optimize and monitor data workflows to ensure performance, scalability, and reliability.

- Manage and maintain RDBMS databases, with a focus on AWS RDS, ensuring security, availability, and performance.

- Utilize Alteryx for data preparation, advanced analytics, and automation of repetitive data tasks.

- Ensure adherence to data quality, integrity, and governance best practices across all pipelines and processes.

- Document data architecture, pipeline designs, and workflows to enable effective knowledge sharing within the team.

Skills & Qualifications :

- Bachelors degree in Computer Science, Information Technology, or a related field.

- 3+ years of experience in Data Engineering or similar roles.

- Strong proficiency in Snowflake, including data modeling and performance optimization.

- Hands-on experience implementing DBT (Core or Cloud) in production environments.

- Advanced SQL skills, including complex queries, window functions, and Common Table Expressions (CTEs).

- Familiarity with orchestration tools like Apache Airflow and version control systems (e.g., Git).

- Experience with AWS services, specifically RDS, S3, EventBridge, and Lambda.

- Practical experience in using Alteryx for data preparation and advanced analytics workflows.

- Strong understanding of RDBMS principles, data warehousing concepts, and data governance practices.

- Excellent problem-solving, communication, and collaboration skills.

- Preferred: Experience with visualization tools such as Tableau or Power BI.

- Preferred: Exposure to machine learning frameworks and concepts.