Java Data Engineer

Your responsibilities will include designing, developing, and maintaining scalable data pipelines for integration and processing, implementing ETL workflows for large dataset extraction, transformation, and loading, and optimizing data models and schemas to facilitate analytics and reporting. Ensuring data quality, integrity, and security across all platforms will be a key focus, along with collaborating with cross-functional teams to define data architecture and storage strategies.

In this role, you will leverage your Java programming skills to build reusable components and frameworks for data engineering solutions, optimize SQL queries and data warehouse performance, and drive automation of manual data processes to enhance efficiency. Additionally, you will be responsible for conducting data validation, profiling, and monitoring to ensure accuracy and availability, as well as supporting data analytics teams with clean, structured, and accessible datasets.

To excel in this position, you should possess strong proficiency in Java programming language, hands-on experience in Data Engineering, Data Modeling, and Data Architecture, and proven expertise in ETL development and Data Warehousing solutions. A solid understanding of SQL, database management systems, and experience with large-scale datasets and distributed data systems will be advantageous. Familiarity with Big Data technologies such as Hadoop, Spark, Kafka, and Hive is a plus.

Your problem-solving and debugging skills, attention to detail, and excellent communication, collaboration, and documentation abilities will be crucial in this role. A Bachelor's degree in Computer Science, IT, or a related discipline is required, with a Master's degree preferred. Staying updated with emerging tools, technologies, and best practices in data engineering and big data ecosystems will also be essential for success in this position.,