▷ (Urgent) Senior Data Engineer (Elasticsearch/SQL)

3 weeks ago

Thiruvananthapuram Trivandrum India Quantiphi Analytics Solutions Private Limited Full time

Job Description 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: SeniorData 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.

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