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Tier-1 brand, Bangalore metro location, and mid-level Data Engineer title create high competition.
Databricks/Hadoop/Azure skills are transferable, but financial domain context creates moderate sensitivity.
Multiple mandatory technical skills and 5+ years Databricks/Hadoop/Scala experience make screening highly strict.
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Design, implement, and maintain secure, scalable data infrastructure across AWS/Azure and Data Center environments, including data lakes, warehouses, and streaming systems.
Own SLAs and system-centric KPIs ensuring high availability, throughput, data consistency, security, and user privacy.
Mentor engineers and promote software engineering best practices focusing on monitoring, auditing, reliability, and security.
Minimum 5+ years of Databricks experience using Azure Cloud.
Hands-on expertise in Hadoop and Scala for 5+ years.
Proficiency in at least one programming language: Python, Scala, or SQL.
Knowledge of at least one public cloud platform: AWS or Azure.
Demonstrates strong end-to-end ownership and prioritization skills to manage and deliver data engineering solutions independently.
Experienced in Data Engineering with accompanying DevOps & DataOps workflows in cloud environments.
Has mentoring experience and effectively promotes engineering best practices in a collaborative setting.