Senior Data Engineer

Job not on LinkedIn

🕒 December 9, 2025

🏢🏡 Bangalore – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Logo of Saltmine

Saltmine

WebsiteLinkedIn

51 - 200 employees

Founded 1993

🏢 Enterprise

🏠 Real Estate

⚡ Productivity

💰 $20M Series A on 2021-02

Enterprise • Real Estate • Productivity

Saltmine is an enterprise workplace performance and optimization platform that automates and integrates people, data, and processes to enhance workplace dynamics. With a focus on creating human-centric workplace ecosystems, Saltmine enables teams to analyze and interpret data to maximize employee experience and streamline project execution. By centralizing real estate assets and providing actionable insights, Saltmine empowers workplace teams to make informed decisions that reduce costs and improve productivity.

📋 Description

• Build, scale, and maintain high-throughput data platforms. • Manage event streaming ecosystems with strong emphasis on Kafka. • Improve platform observability with dashboards, metrics, logs, and alerts. • Ensure high availability, fault tolerance, and horizontal scalability. • Build and manage cloud-native environments on AWS. • Use Terraform for Infrastructure-as-Code to automate deployments. • Ensure security, monitoring, and operational excellence across the platform. • Work with internal microservices that publish/consume data. • Ensure smooth integration between services and the data platform. • Collaborate with backend teams to maintain consistent schemas and service-level reliability. • Build intuitive dashboards for data stories with tools like Grafana, CloudWatch or similar.

🎯 Requirements

• Strong foundation in distributed computing and system internals. • Hands-on experience with Kafka (partitioning, consumer groups, tuning, schema management). • Excellent command of Python, SQL, and Apache Spark. • Experience across relational, NoSQL, and graph database systems. • Solid knowledge of AWS services relevant to data engineering. • Good skills with Terraform and infrastructure automation. • Experience working in high-volume, real-time data environments. • Exposure to containerization (Docker) and orchestration systems (Nice-to-Have). • Experience with Graph Query language, like Cypher (Nice-to-Have). • Understanding of distributed storage engines and indexing concepts (Nice-to-Have).

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