Job Description
We are hiring for a Big Data Engineer (Java). The ideal candidate will have strong expertise in Java and Apache Spark, with proven experience designing and operating large-scale batch data processing systems in cloud environments. Exposure to GCP is highly preferred, along with experience in other cloud platforms such as AWS or Azure.
Key requirements include:
• Strong hands-on experience in Java for backend and data processing systems
• Deep expertise in Apache Spark (Java API) for building robust batch pipelines
• Experience working with cloud-based data platforms, preferably GCP (BigQuery, Cloud Storage)
• Solid understanding of data formats like Parquet, Avro, and JSON
• Strong background in ETL/ELT frameworks, large-scale data processing, and performance optimization
• Experience with CI/CD practices and secure data handling
• Good understanding of data modeling, OLTP vs OLAP concepts, and layered data architecture
• Ability to design scalable, reliable, and maintainable data platforms
In this role, you will:
• Own and drive the architecture of Java and Spark-based data platforms
• Act as a technical leader guiding design, best practices, and implementation
• Collaborate with cross-functional teams including cloud, security, and enterprise architecture
• Mentor engineering teams and contribute to overall platform maturity
• Ensure performance, scalability, reliability, and cost efficiency of solutions.
Experience with GenAI-driven development, observability practices, and Spark performance tuning will be an added advantage.
Key requirements include:
• Strong hands-on experience in Java for backend and data processing systems
• Deep expertise in Apache Spark (Java API) for building robust batch pipelines
• Experience working with cloud-based data platforms, preferably GCP (BigQuery, Cloud Storage)
• Solid understanding of data formats like Parquet, Avro, and JSON
• Strong background in ETL/ELT frameworks, large-scale data processing, and performance optimization
• Experience with CI/CD practices and secure data handling
• Good understanding of data modeling, OLTP vs OLAP concepts, and layered data architecture
• Ability to design scalable, reliable, and maintainable data platforms
In this role, you will:
• Own and drive the architecture of Java and Spark-based data platforms
• Act as a technical leader guiding design, best practices, and implementation
• Collaborate with cross-functional teams including cloud, security, and enterprise architecture
• Mentor engineering teams and contribute to overall platform maturity
• Ensure performance, scalability, reliability, and cost efficiency of solutions.
Experience with GenAI-driven development, observability practices, and Spark performance tuning will be an added advantage.
💡 Quick Summary
Seeking a career-building opportunity? The Big Data Engineer (Java Focused) position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Chicago offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
