Senior Data Engineer

4 days ago

Thiruvananthapuram, Kerala, India Quantiphi Full time ₹ 8,00,000 - ₹ 24,00,000 per year

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi

Role: Senior Data Engineer - (SQL/Elasticsearch)
Experience : 3 - 8 Years
Work location: Mumbai, Bangalore & Trivandrum
Role & Responsibilities

  • Design and optimize search and analytics solutions using Elasticsearch for handling structured, semi-structured, and unstructured healthcare data.
  • Build and optimize SQL-based ETL/ELT pipelines for ingestion, transformation, and reporting at scale.
  • Diagnose and troubleshoot distributed systems problems, including search performance, query optimization, and data indexing challenges.
  • Design and implement scalable storage and query solutions leveraging relational databases and search engines.
  • Help developers in debugging data related issues.
  • Capable of creating APIs using Python(fastAPI).
  • Communicate effectively with Infrastructure, Network, DevOps, SiteOps, and customer teams to ensure smooth operations.
  • Build automation and monitoring tools to ensure high availability and performance of SQL and Elasticsearch-based systems.

Must Have Skills

  • Strong expertise in SQL (query optimization, stored procedures, indexing, partitioning).
  • Hands-on experience with Elasticsearch: designing indices, mapping, analyzers, query DSL, performance tuning, scaling clusters.
  • Solid understanding of data modeling, normalization, and search schema design.
  • Proficiency in Python for scripting and API development.
  • Familiarity with GitHub/Bitbucket/GitLab for version control.
  • Strong grasp of data structures, exception handling, and debugging.
  • Experience with GCP services (BigQuery, Data Fusion, Pub/Sub, Cloud Storage) or equivalent AWS/Azure data services.
  • Exposure to orchestration frameworks such as Airflow, NiFi, or Google Cloud Composer.
  • Experience developing pipelines and utilities for data migration, storage, search, and analytics on Google Cloud.
  • Experience in developing and maintaining large-scale data ingestion pipelines capable of handling terabytes of daily data.
  • Familiarity with message/event streaming solutions such as Kafka, Kinesis, or Pub/Sub.
  • Knowledge of containerization and orchestration (Docker, Kubernetes).
  • Hands-on experience in optimizing Elasticsearch clusters for high availability, security, and scalability in production.
  • Experience supporting large-scale, real-time data systems in production.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

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