





Strong global brand, metro Bangalore/Pune hiring, and a visible, broad-skills Data Engineer role increases competition.
Core data engineering skills (Python,Snowflake,ETL,AWS) transfer easily across industries, so background sensitivity is low.
Mandatory 10+ years and specific Snowflake/Python/AWS/DBT tech requirements make shortlisting highly strict.
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Own end-to-end delivery of complex, large-scale data engineering projects including ETL pipelines and system implementations.
Provide high-level data engineering services and mentorship to team members.
Design, develop, review, debug, and optimize programming systems and data pipelines for performance and scalability.
10+ years of experience in Data Engineering with expertise in Python, ETL, Snowflake, advanced SQL, Unix, AWS, and Cloud.
Proven experience building robust data architectures and managing large-scale datasets.
Experience implementing ETL/ELT processes, optimizing queries, and ensuring data security and compliance.
Work Experience Required: 10+ years in Data Engineering.
Experienced in managing end-to-end data engineering projects and mentoring teams, indicating a leadership role.
Skilled in building and optimizing scalable data architectures for business analytics and data-driven decision-making.
Comfortable working with modern data stack tools such as DBT, Snowflake, Github CI/CD pipelines, and cloud environments like AWS for secure and performant solutions.