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!
