





Metro location and popular data-engineer title increase competition, balanced by seniority and specialized Snowflake/AWS requirements.
Medium since core data engineering skills transfer across industries, despite optional insurance-domain preference.
High due to explicit 9–12 years and mandatory Snowflake, PySpark, and AWS cloud skills.
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Lead and ensure timely, high-quality delivery of data engineering projects.
Collaborate with clients and offshore leads to gather requirements and define high-level architecture and designs.
Provide technical leadership and guidance to the engineering team for design, implementation, testing, and delivery tasks.
9+ years of relevant experience in Data Engineering and project delivery.
Bachelor’s Degree in Engineering (BE/B.Tech) from a reputed institution.
Strong expertise in AWS services (Glue, EMR, S3, Aurora, RDS), Snowflake, SQL, Python, and PySpark.
Location requirement: Gurugram.
Experienced in leading data engineering projects with client and stakeholder interaction.
Demonstrates strong problem-solving and project risk management capabilities.
Skilled in Agile methodology and capable of providing technical mentorship in cloud-based big data environments.