Lead I - Data Engineering - Java Spark

Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our clients to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact, touching billions of lives in the process.

Visit us at UST.com. Summary: UST is looking for a highly skilled Data Engineer

• Java + Spark with strong experience in enterprise application development, Big Data technologies, and real-time data processing solutions. The ideal candidate should have expertise in Core Java, Apache Spark, Kafka, and SQL, along with experience working in distributed data environments. The Opportunity: Job Description We are seeking an experienced Java Spark Developer to design, develop, and maintain scalable enterprise applications and data processing solutions. The candidate will be responsible for building high-performance Big Data applications, implementing real-time streaming architectures, and optimizing large-scale data processing systems. Key Roles & Responsibilities Design and develop enterprise-grade applications using Core Java. Build and maintain scalable data pipelines using Apache Spark. Develop batch and real-time data processing solutions using Spark SQL, Data. Frames, Datasets, and Spark Streaming. Implement event-driven and streaming architectures using Apache Kafka. Write, optimize, and tune complex SQL queries for high-performance applications. Work with distributed storage systems and Big Data platforms such as Hadoop HDFS, Hive, and Amazon S3. Develop integrations with NoSQL databases including HBase and Cassandra. Collaborate with cross-functional teams to design scalable and reliable data solutions. Troubleshoot, optimize, and enhance application performance and reliability. Follow software engineering best practices and contribute to architecture discussions. What You Need: Required Skills Core Java Apache Spark Spark SQL Data. Frames Datasets Spark Streaming Apache Kafka Advanced SQL Development and Query Optimization Hadoop HDFS Hive Amazon S3 HBase or Cassandra Distributed Systems and Big Data Architecture Desired Skills RabbitMQ AWS Kinesis Experience with large-scale distributed data processing platforms Performance tuning and optimization of Big Data applications Knowledge of cloud-based data architectures Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related technical field. 5+ years of professional software engineering experience. Strong hands-on experience in enterprise Core Java application development. Proven experience with Apache Spark and Big Data technologies. Experience implementing real-time messaging and streaming solutions. What we believe: We're proud to embrace the same values that have shaped UST since the beginning. Since day one, we've been building enduring relationships and a culture of integrity. Today, those same values inspire us to encourage innovation from everyone, champion diversity and inclusion, and place people at the center of everything we do. Humility We will listen, learn, be empathetic, and help selflessly in our interactions with everyone. Humanity Through business, we will better the lives of those less fortunate than ourselves. Integrity We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures.