Big Data Specialist

Role Overview We are seeking a highly skilled Big Data Engineer to join our team. The ideal candidate will have strong experience in building, maintaining, and optimizing large-scale data pipelines and distributed data processing systems. This role involves working closely with cross-functional teams to ensure the reliability, scalability, and performance of data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes. Work with large datasets using Hadoop ecosystem tools (Hive, Spark). Build and optimize real-time and batch data processing solutions using Kafka and Spark Streaming. Write efficient, high-performance SQL queries to extract, transform, and load data. Develop reusable data frameworks and utilities in Python. Collaborate with data scientists, analysts, and product teams to deliver reliable data solutions. Monitor, troubleshoot, and optimize big data workflows for performance and cost efficiency. Must-Have Skills Strong hands-on experience with Hive and SQL for querying and data transformation. Proficiency in Python for data manipulation and automation. Expertise in Apache Spark (batch and streaming). Experience working with Kafka for streaming data pipelines. Good-to-Have Skills Experience with workflow orchestration tools (Airflow etc.) Knowledge of cloud-based big data platforms (AWS EMR, GCP Dataproc, Azure HDInsight). Familiarity with CI/CD pipelines and version control (Git).

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