Flink with Apache

Job Description

Job Description : We are looking for a Senior Data Engineer with strong experience in data pipelines , ETL processes , and data visualization . The ideal candidate will have hands-on expertise with Apache Superset , Apache Beam , Apache Flink , and Apache Airflow . Key Responsibilities : Design, develop, and maintain end-to-end data pipelines using Apache Beam and Apache Flink for both real-time and batch data processing . Build, maintain, and optimize data orchestration workflows using Apache Airflow DAGs for task automation and scheduling. Leverage Apache Superset to create interactive data visualizations, dashboards, and reports for business intelligence and data exploration. Collaborate with cross-functional teams to gather requirements and translate them into technical solutions for data engineering projects. Ensure data quality, consistency, and security across all data platforms. Implement and optimize complex SQL queries on relational databases and manage data storage using SQL , MongoDB , or PostgreSQL . Troubleshoot, debug, and optimize data processing workflows to ensure high performance and scalability. Continuously improve and innovate data engineering processes and technologies to enhance the performance and usability of data systems. Preferred candidate profile : Key Skills : 6+ years of experience with Apache Superset , Apache Beam , Apache Flink , and Apache Airflow . Proficiency in SQL , MongoDB , or PostgreSQL . Strong problem-solving skills and experience with data engineering best practices.