Build and Maintain Data Pipelines
Design and develop reliable, scalable, and secure ETL/ELT pipelines using Matillion(or similar platform), Python, and dbt
Optimize Data Infrastructure
Work on performance tuning of SQL queries, table structures, and warehouse configurations
Collaborate Cross-functionally
Work closely with data analysts, data scientists, product managers, and engineering teams
Data Modeling
Design and maintain scalable dimensional and normalized data models within Snowflake
Implement and Enforce Data Quality Standards
Build data quality checks, logging, monitoring, and alerting systems
Documentation and Best Practices
Maintain comprehensive documentation of systems, processes, and code

5+ years of experience in data engineering or a similar role
Strong proficiency in Python for data processing and scripting
Hands-on experience with Snowflake(or similar platform), including SQL optimization, schema design, and performance tuning
Proficient in dbt (data build tool) for data transformations and model management
Experience with Airflow (or similar workflow orchestration tools like Prefect or Luigi)
Solid understanding of ELT/ETL principles, data warehousing concepts, and data modeling
Experience with CI/CD tools and version control (e.g., Git)
Familiarity with cloud platforms (AWS, GCP, or Azure)

Senior Data Engineer

Key skills