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VC-backed startup, Bengaluru metro, mid-level data role with broad stack increases candidate competition.
Data platform skills (Kafka, Spark, cloud) transfer across industries but require specific platform experience.
Explicit 4+ years and many required technologies (Kafka, Spark, Terraform, cloud, governance) imply high selection rigor.
Lead scaling and automation of data infrastructure including AI automation of manual operations.
Develop AI-based analytical tools integrated with data pipelines for business insights on metrics like customer growth and operational efficiency.
Collaborate cross-functionally and mentor senior engineers while managing project timelines, technical direction, and hiring activities.
4+ years of experience designing and maintaining data infrastructure with leadership on complex projects.
Bachelor’s, Master’s, or PhD in computer science, computer engineering, or related technical field, or equivalent industry experience.
Proficiency in Kafka, Python, Scala, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
Experience with database design (SQL and NoSQL), Git, Terraform, CI/CD practices, and data governance and security principles.
Experienced in building and managing enterprise-grade, event-driven data platforms with strong distributed computing knowledge.
Comfortable leading cross-team engineering initiatives and making architectural decisions at scale.
Skilled in developing AI-assisted tools and automating data operations to improve data delivery and business insights.