5–8 years of experience as a Data Engineer with strong exposure to BFSI projects.
Hands-on expertise in Snowflake (data warehouse design, schema modeling, query tuning).
Proficiency in SQL and experience with scripting languages (Python preferred).
Strong knowledge of ETL/ELT tools and modern data integration frameworks.
Experience with cloud platforms (AWS/Azure/GCP) and data lake architectures.
Familiarity with data governance, security, and compliance frameworks in financial services.
Strong problem-solving and analytical skills with ability to work in fast-paced environments.