Vodafone Idea | Apache Druid Developer @ _VOIS

Job Description

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

• Bachelors 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).

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Keyskills:   Apache druid Druid SQL SQL