Senior Data Engineer

🔥 2 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Shuru

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• Design, build, and manage scalable multi-cloud data platforms. • Develop and optimize real-time and batch data pipelines using Kafka and Spark. • Build Lakehouse architectures using Apache Iceberg or Delta Lake. • Optimize BigQuery, data models, queries, and warehouse performance. • Design reliable and scalable distributed data processing systems. • Automate infrastructure and deployments using Terraform and Kubernetes. • Ensure high standards of data reliability, security, governance, and compliance. • Drive technical architecture and design reviews. • Mentor engineers and contribute to engineering best practices.

🎯 Requirements

• 8+ years of experience in Data Engineering, Data Platforms, or Distributed Systems. • 3+ years of experience operating large-scale data platforms in production. • Strong hands-on experience with Kafka, Spark, GCP, BigQuery, and Airflow. • Experience with Terraform and Kubernetes. • Hands-on knowledge of Lakehouse technologies such as Iceberg or Delta Lake. • Strong understanding of data modeling, distributed systems, and data warehouse architecture. • Experience leading technical initiatives and mentoring engineers. • Nice to have: Experience with Debezium, Redpanda, and dbt. • Nice to have: Experience with Prometheus and Grafana for monitoring and observability. • Nice to have: Exposure to fintech, financial services, or regulated environments. • Nice to have: Understanding of data governance, security, and compliance requirements.

🏖️ Benefits

• Work on challenging, large-scale engineering and data problems. • Build modern platforms using cutting-edge cloud and data technologies. • Work closely with experienced engineering, product, and technology leaders. • Opportunity to take ownership of architecture and key technical decisions. • Remote-first and collaborative work environment. • Strong opportunities for learning, leadership, and career growth.