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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Mastercard brand, metro Pune location, and popular Data Engineer role increase applicant competition.
Core data-platform skills are transferable, but fintech governance and multi-cloud requirements increase domain sensitivity.
Explicit 8+ years plus mandatory Databricks, Snowflake, cloud, and platform engineering skills raise strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and scale cloud-native data and BI solutions using Databricks, Snowflake on AWS, and Azure.
Develop scalable, high-performance data pipelines and drive multi-cloud architecture implementation leveraging AWS and Azure services.
Build and maintain platform integrations including CI/CD pipelines, automation frameworks, and govern secure access patterns across multi-cloud environments.
Minimum Requirements
8+ years in software engineering, data engineering, or platform engineering roles.
Proficient with Databricks (AWS/Azure), Snowflake, and AWS services like S3, Glue, EMR, IAM.
Experience designing and building cloud-based data platforms or BI/analytics solutions.
Experience with CI/CD, Infrastructure as Code, and automation tools.
Ideal Candidate Profile
Has proven leadership ability to guide technical design and mentor engineering teams.
Demonstrates expertise in multi-cloud data platform architectures spanning AWS and Azure.
Experienced with secure data governance, platform interoperability, and cost optimization in cloud environments.