Data Infrastructure Specialist

1 week ago


india beBeePipeline Full time

Key Data Pipeline RolesThe role of a data engineer is crucial in designing, building, and optimizing data pipelines and real-time systems powering AI-driven decisioning and analytics.Essential SkillsDevelop scalable ETL/ELT pipelines using Python, Airflow, and dbt to effectively extract, transform, and load data for various applications.Build and optimize real-time streaming pipelines using Kafka, RabbitMQ, Spark, and event-driven microservices to ensure seamless data flow and low-latency processing.Apply AI coding agents to accelerate data pipeline development, transformation, and optimization by leveraging machine learning algorithms and automation techniques.Manage data storage solutions with PostgreSQL, ClickHouse, and Elasticsearch to store and retrieve data efficiently and securely.Define and implement data modeling best practices for efficient and scalable data storage by creating optimized data structures and schemas.ResponsibilitiesEvaluate the high availability, performance, and security of data infrastructure on cloud platforms like AWS to ensure optimal data management.Implement BI-ready datasets in ClickHouse optimized for OLAP workloads and reporting use cases to provide actionable insights.Develop denormalized schemas and data models to support analytics and amCharts-based reporting by creating flexible and scalable data structures.Optimize query performance, partitioning, and indexing strategies in ClickHouse to handle large-scale analytical workloads and improve query efficiency.QualificationsDemonstrate strong expertise in ClickHouse for analytics, including data modeling, partitioning, indexing, and query optimization to drive business growth.Exhibit experience with relational and analytical databases (Postgres, ClickHouse, Elasticsearch) to handle diverse data sources and querying needs.



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