Job Description
Data Pipeline Development
Design develop and maintain efficient reliable and reusable ETLELT pipelines using DBT Snowflake and related technologies
Data Modeling
Build and optimize data models star snowflake schemas to support analytical and reporting use cases ensuring data quality accuracy and performance
Data Integration
Integrate data from multiple sources APIs databases SaaS platforms cloud storage into Snowflake using modern data ingestion tools and frameworks
Performance Optimization
Tune SQL queries manage compute resources and optimize Snowflake performance for scalability and cost efficiency
Data Governance Quality
Implement data validation testing and monitoring processes to ensure high data quality and consistency across environments
Collaboration
Partner with data analysts data scientists and business teams to understand requirements define transformations and deliver highquality datasets
Automation CICD
Contribute to automation version control and deployment best practices using Git CICD pipelines and DBT Cloud or similar
Documentation
Maintain clear comprehensive documentation for pipelines data models and workflows
Required Skills Qualifications
Education Bachelors degree in computer science Information Technology Engineering or related field
Experience 47 years in data engineering with at least 3 years of handson experience in Snowflake and DBT
Technical Expertise
Strong SQL Skills And Experience In Building Complex Transformations
Proficiency in Snowflake architecture warehouses micropartitioning clustering query optimization etc
Deep understanding of DBT models macros testing documentation version control
Experience with cloud platforms such as AWS Azure or GCP e g S3 Lambda Cloud Storage
Familiarity with Python or Scala for data engineering workflows
Knowledge of orchestration tools such as Airflow Dagster or Prefect
Experience with Git CICD and deployment automation
