Key Responsibilities
•Design, develop, and optimize scalable data pipelines using Python and SQL
•Build and manage data models and transformations using DBT
•Develop and maintain workflows and scheduling using Airflow
•Work with Snowflake for data warehousing, performance tuning, and data optimization
•Ensure data quality, integrity, and reliability across all data systems
•Collaborate with cross-functional teams including Analytics, BI, and Data Science teams
•Monitor and troubleshoot data pipelines and workflows to ensure timely delivery
•Implement best practices for data governance, security, and compliance
•Lead data engineering strategy across projects
•Drive innovation in practices and optimization
•Represent team in executive meetings
•Develop long-term data plans
Required Skills & Qualifications
•Strong experience in SQL and data modeling
•Proficiency in Python for data engineering tasks
•Hands-on experience with Snowflake (data warehousing, optimization, performance tuning)
•Experience working with DBT for transformation and data modeling
•Experience with workflow orchestration tools like Airflow
•Good understanding of ETL/ELT processes and data pipeline architecture
•Familiarity with cloud platforms (AWS/Azure/GCP) is a plus
•Strong problem-solving and analytical skills
•Excellent communication skills
•Ability to effectively collaborate with global stakeholders and teams
•Graduate in Computer Science, Data Science, or related field
•4-6 years of experience in data engineering or related field
