Back
Metro Bangalore, popular data-engineer title with broad Snowflake/Python/cloud requirements increases competition.
Skills broadly transferable across industries but Snowflake and finance preference raise domain sensitivity to medium.
7+ years and mandatory Snowflake, Python, and cloud experience create high shortlisting rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain Python-based data pipelines and Snowflake cloud data warehouse objects including databases, schemas, tables, views, procedures, streams, and tasks.
Build and optimize ETL/ELT workflows for large-scale data ingestion, transformation, and integration across cloud platforms (AWS, Azure, or GCP).
Monitor data quality, pipeline reliability, SQL query and warehouse performance; troubleshoot production issues; mentor team members; and collaborate with architects, analysts, and business stakeholders.
7+ years of professional Python development experience with strong Snowflake data engineering expertise including advanced SQL, data modeling, and ETL/ELT pipeline development.
Experience with cloud platforms (AWS, Azure, or Google Cloud), Snowflake data warehousing, and integration of APIs, relational databases, and cloud storage.
Bachelor’s degree in computer science, information technology, data engineering, or related field, or equivalent practical experience.
Experience in supporting production data platforms and resolving performance issues; Financial services or regulated industry experience preferred but not mandatory.
Experienced senior Python developer with deep hands-on skills in Snowflake data warehousing, advanced SQL optimization, and scalable ETL/ELT workflow automation.
Familiar with cloud-native data engineering environments, orchestration tools (e.g., Apache Airflow, Matillion), and a strong focus on data quality, security, and compliance within production-grade pipelines.
Comfortable working collaboratively across technical and business teams, mentoring peers, and making implementation decisions aligned to architecture and security standards.