Remote Senior data engineer (backend system) Jobs – 139 Open Jobs Today

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Senior Real-time Data Engineer

Rupa Career Solutions
Remote

Quick apply

Job details

Full-time
₹90,095.24 - ₹12,08,688.51 a year

Qualifications

Node.js
Kubernetes
SQL
JavaScript
PostgreSQL
Terraform
REST
Conversion optimisation
APIs
Apache
Kafka
GraphQL
Python
Analytics

Full job description

Senior Real-time Data Engineer

Required Experience: 7 + Years

Skills: Cube.js, apache pinot

About the Role

We are looking for a Senior Real-time Data Engineer

to lead the architecture and development of our customer-facing analytics engine. Our Sales Engagement Platform processes millions of events daily—from email interactions to live call metadata. Your mission is to transform
this firehose of raw data into high-performance, actionable insights for our users. You will bridge the gap between backend data systems and the user interface, building a robust
Semantic Layer that ensures our customers see the same "Single Source of Truth" across every dashboard, report, and API.

Key Responsibilities:

Architecture & Scaling: Design and maintain a low-latency analytics stack capable of handling high-concurrency queries from thousands of concurrent SaaS users.
Real-time Ingestion:Build and optimize ingestion pipelines that move data from transactional databases (PostgreSQL) and event streams (Kafka/Kinesis) into
Apache Pinot.
Semantic Layer Development:UseCube (Cube.js)to model complex sales metrics (e.g., "Sequence Conversion Rate," "Attributed Revenue," "Meeting Booked Rate") ensuring consistency
across the application.
Performance Engineering:OptimizeApache Pinottables, indexing strategies, andCubepre-aggregations to ensure dashboard widgets loa in under 300ms.
API Strategy:Expose data models via REST/GraphQL APIs, collaborating closely with Frontend Engineers to build world-class data visualizations.
Data Governance:Implement multi-tenant security logic within the semantic layer to ensure strict data isolation between different customer accounts.

Technical Requirements

OLAP Expertise: 3+ years of experience withApache Pinot(or similar technologies like ClickHouse/StarRocks) in a production environment.

Semantic Modeling: Deep experience withCube (Cube.js), including advanced features like pre-aggregations, security contexts, and multi-tenant configurations.

Data Store Mastery: Expert-level knowledge ofPostgreSQL, specifically in the context of analytical query optimization and Change Data Capture (CDC).

Streaming & Ingestion: Hands-on experience with real-time data movement (Debezium, Kafka, or Flink).

Software Craftsmanship: Proficiency in Node.js or Python, with a focus on building scalable backend services.

Language: Mastery of complex SQL and the ability to translate business logic into code-based data schemas.

Bonus Points If You Have

Experience building analytics specifically for CRM or Sales Tech ecosystems.
Contributions to open-source projects (specifically in the Pinot or Cube communities).
Experience with Infrastructure as Code (Terraform, Kubernetes) for managing data clusters.

Pay: ₹90,095.24 - ₹1,208,688.51 per year

Application Question(s):

Manditory skills are Cube.js, apache pinot?

Experience:

IT: 7 years (Required)
Data Engineer: 5 years (Required)
OLAP (Apache): 3 years (Required)

Work Location: Remote

Quick apply

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