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Sr Search Engineer

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Onsite

Sr Search Engineer

Nasuni Com

Sr Search Engineer

Skills

SQL QueriesPythonJavaKafkaData AnalysisElasticsearchApache Airflow

17 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job highlights

  • Build and maintain high-throughput ingestion services using batch and streaming patterns.
  • Preferred Qualifications
  • Experience operating data pipelines in production with monitoring and alerting
  • Experience with workflow orchestration tools such as Airflow,Dagster,or similar .
  • Direct experience scaling search ingestion for large datasets.

Senior Search Engineer - Hyderabad, India

Role Overview

Nasuni is building the next generation of enterprise search across massive volumes of unstructured data. As a Senior Data Engineer on our Search Platform team, you will own the data ingestion and transformation systems that power search at global scale.

This role is for engineers who enjoy building production-grade data platforms, solving high-scale indexing challenges, and owning systems end-to-end-from source data to search-ready schemas. It is not a role for early-career engineers or purely analytics-focused data roles.

You will work closely with Search, Platform, and Quality Engineering partners to ensure that data flowing into OpenSearch is reliable, performant, and designed for relevance, experimentation, and long-term scalability.

Level & Scope Definition

  • Owns end-to-end ingestion pipelines feeding Nasuni s search platform
  • Operates with high autonomy on design and implementation decisions
  • Responsible for schema design, data quality, and indexing performance
  • Execution-focused with architectural accountability
  • No people management responsibilities
  • Collaborates cross-functionally with Search, Platform, and Quality teams

Key Responsibilities

  • Design, develop, and operate production-grade ETL/ELT services, primarily in Java, that transform source data into optimized OpenSearch schemas
  • Solve large-scale indexing challenges in a multi-tenant, multi-region, multi-cloud SaaS environment
  • Build and maintain high-throughput ingestion services using batch and streaming patterns
  • Implement monitoring, alerting, and logging to ensure data completeness, accuracy, and operational stability
  • Partner with Search leadership on index lifecycle management, re-indexing strategies, and data retention policies
  • Build and expose APIs that integrate search ingestion services into Nasuni s product ecosystem
  • Collaborate with Search Quality Engineering to support relevance tuning, experimentation, and A/B testing
  • Continuously optimize pipelines for performance, cost efficiency, and scalability

Qualifications

Must-Have Qualifications

  • 7+ years of professional software engineering experience
  • 4+ years owning production data ingestion pipelines for search or similar systems
  • Strong proficiency in Java for building high-throughput backend services
  • Hands-on experience with OpenSearch, Elasticsearch, or Solr indexing and mappings
  • Advanced SQL skills and strong data modeling fundamentals
  • Experience operating data pipelines in production with monitoring and alerting

Preferred Qualifications

  • Experience with workflow orchestration tools such as Airflow, Dagster, or similar
  • Experience with streaming data platforms (Kafka, Kinesis, or equivalent)
  • Python experience for scripting, data validation, or tooling integration
  • Familiarity with multi-tenant SaaS architectures

Ideal Qualifications

  • Direct experience scaling search ingestion for large datasets
  • Experience supporting search relevance initiatives or experimentation frameworks
  • Background in cost optimization for high-volume data platforms

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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