Must have minimum 5+ years of relevant experience
Strong experience in data engineering, ETL (preferably Informatica), and data Architecture
Hands-on experience with Airflow and MuleSoft
Strong SQL skills with Snowflake and other relational databases
Experience writing complex Python modules for custom ETL workflows
Expertise in building batch and real-time data pipelines
Experience with dbt for data transformation and modelling
Familiarity with AWS/GCP and distributed/event-driven architectures
Strong understanding of data modeling, data warehousing, and big data processing
Experience with data quality, monitoring, and pipeline orchestration frameworks