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Mid-level, popular Data Engineer role with common Snowflake/Python skills in a Pune metro increases competition.
Core data engineering skills are transferable, though financial-services preferences moderately raise domain sensitivity.
Explicit 5+ years plus mandatory Snowflake/Python/SQL/AWS skills produce strict screening filters.
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Design, develop, test, and support scalable Snowflake data pipelines and Python-based integrations across cloud and on-premises environments.
Develop efficient SQL queries, data transformations, validations, and automated workflows ensuring data quality, monitoring, error handling, and recovery.
Collaborate with distributed Agile teams to deliver secure, reliable data solutions meeting analytics, reporting, and operational requirements.
5+ years in data engineering, data integration, or related roles; 3+ years hands-on experience with Snowflake and Python 3.x.
Strong proficiency in SQL, relational databases, and Python programming including shell scripting.
Experience working with AWS services (S3, EC2) and integrating data between cloud and on-premises systems.
Bachelor’s degree in computer science, engineering, mathematics, related field, or equivalent practical experience.
Proven ability to build and maintain production-grade data pipelines using Snowflake and Python in Agile and distributed team environments.
Experienced in developing automated data validation, reconciliation, and monitoring processes to improve reliability and performance.
Comfortable collaborating cross-functionally with engineering, analytics, security, and business stakeholders to meet requirements and improve cloud resource efficiency.