5–10 years of professional experience in data engineering.
Strong expertise in:
Snowflake (data modeling, performance tuning, warehouse optimization)
DBT (transformations, modular SQL development)
Airflow (workflow orchestration, DAG management)
Python (data processing, automation, scripting)
IICS (Informatica Intelligent Cloud Services) for ETL/ELT workflows
Solid understanding of SQL and relational database concepts.
Experience with cloud platforms (AWS, Azure, or GCP).
Knowledge of CI/CD pipelines and version control (Git).
Strong problem-solving and communication skills.