Vodafone Idea | Apache Druid Developer

Job Purpose VI is looking for an experienced Apache Druid Developer to join our data engineering team. The ideal candidate will have a deep understanding of real-time data ingestion, processing, and querying in large-scale analytics environments. He will be responsible for designing, implementing, and optimizing data pipelines in Apache Druid to support real-time data analytics and drive business insights. Key Result Areas/Accountabilities Data Ingestion Pipelines : Design and implement data ingestion workflows in Apache Druid, including real-time and batch data ingestion. Query Optimization : Develop optimized Druid queries and leverage Druids indexing and storage capabilities to ensure low-latency, high-performance analytics. Data Modeling : Create and maintain schemas optimized for time-series data analysis, supporting aggregation, filtering, and complex analytical functions. Cluster Management : Deploy, configure, and manage Druid clusters, monitoring performance, reliability, and cost-effectiveness. Data Integration : Collaborate with other teams to integrate Druid with data sources (e.g., Kafka, Hadoop, S3) and downstream applications. Performance Monitoring & Tuning : Continuously monitor cluster performance, fine-tune data configurations, and troubleshoot any issues that may impact availability and response times. Core Competencies, Knowledge, Experience In-depth experience with Apache Druid (setup, configuration, tuning, and operations). Strong knowledge of SQL and familiarity with Druid SQL . Experience with data ingestion and ETL pipelines , especially with Kafka, Hadoop, Spark, and other data sources. Proficiency in Java, Python , or other programming languages for custom data processing and integration. Familiarity with distributed data systems and big data frameworks (e.g., Hadoop, Apache Kafka, Apache Spark). Must have technical / professional qualifications Bachelor’s degree in Computer Science, with 6+ experience in Data Science, Engineering, or a related field. Experience with data visualization tools (e.g., Superset, Tableau, Looker) and integration with Druid Experience with other analytics databases (e.g., ClickHouse, Snowflake, BigQuery).