Data Engineer

3 days ago

Chennai, Tamil Nadu, India Raah Techservices Full time ₹ 20,00,000 - ₹ 40,00,000 per year

We are looking for an experienced Data Engineer with deep expertise in Elasticsearch to design, build, and maintain scalable data pipelines and infrastructure that power high-performance search and analytics systems.

This role focuses on enabling efficient data ingestion, transformation, indexing, and querying of large-scale structured and unstructured data into Elasticsearch clusters. The ideal candidate will bring strong hands-on experience with ETL/ELT pipeline development, Elasticsearch performance tuning, and data observability in production environments.

Key Responsibilities:

  • Design, develop, and maintain robust ETL/ELT pipelines to ingest data into Elasticsearch from multiple data sources (structured, semi-structured, and unstructured).
  • Automate and optimize data workflows for transformation and indexing.
  • Ensure reliability, scalability, and data quality across all pipeline processes.
  • Configure and manage Elasticsearch clusters for optimal performance, scalability, and fault tolerance.
  • Optimize index settings, mappings, analyzers, and shard allocation strategies.
  • Design efficient index structures and leverage aggregations, filters, and full-text search for fast, accurate queries.
  • Implement monitoring and alerting systems using Elastic Stack (Kibana, Beats) and other observability tools.
  • Develop automated health checks for APIs, endpoints, and infrastructure components.
  • Define and manage key performance metrics and escalation procedures for system health.
  • Work closely with application developers, data analysts, architects, and DevOps teams to ensure Elastic-based solutions are stable and scalable.
  • Provide technical guidance on Elasticsearch best practices, query design, and performance tuning.
  • Contribute to data governance by ensuring high standards in data quality, metadata management, and lineage tracking.

Required Skills

  • Strong hands-on experience with Elasticsearch architecture, indexing, and query optimization.
  • Proven ability to design and build ETL/ELT data pipelines for search and analytics.
  • Expertise in data modeling for search-driven applications.
  • Experience with data warehousing concepts and data governance principles.
  • Familiarity with tools such as BigQuery, Kibana, or similar analytics dashboards.
  • Strong scripting and automation skills using Python, Shell, or equivalent languages.

Preferred Skills

  • Experience with 3DX or Teamcenter data structures.
  • Exposure to AI/ML workflows and integrating Elasticsearch with machine learning models.
  • Familiarity with Elasticsearch observability stack (e.g., Beats, Logstash, APM).
  • Understanding of data lake or data lakehouse architectures.

Job Types: Full-time, Permanent

Pay: ₹469, ₹3,000,000.00 per year

Application Question(s):

  • Mention your last working date

Experience:

  • ETL: 4 years (Preferred)
  • Elasticsearch: 4 years (Preferred)
  • Python: 4 years (Preferred)
  • Data modeling: 4 years (Preferred)
  • Data warehouse: 4 years (Preferred)
  • bigQuery: 5 years (Preferred)
  • AI/ML: 4 years (Preferred)

Work Location: In person

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