Big Data Engineer

Job Description Summary We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the performance, scalability, and reliability of big data platforms. The ideal candidate will have deep expertise in distributed systems, cloud platforms, and modern big data technologies such as Hadoop, Spark etc Job Description Summary We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams to architect data pipelines, implement data integration solutions, and ensure the performance, scalability, and reliability of big data platforms. The ideal candidate will have deep expertise in distributed systems, cloud platforms, and modern big data technologies such as Hadoop, Spark etc Responsibilities Design, develop, and maintain large-scale data processing pipelines using Big Data technologies (e.g., Hadoop, Spark, Python, Scala and Terraform). Implement data ingestion, storage, transformation, and analysis of solutions that are scalable, efficient, and reliable. Stay current with industry trends and emerging Big Data technologies to continuously improve the data architecture Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize and enhance existing data pipelines for performance, scalability, and reliability. Develop automated testing frameworks and implement continuous testing for data quality assurance. Conduct unit, integration, and system testing to ensure the robustness and accuracy of data pipelines. Work with data scientists and analysts to support data-driven decision-making across the organization. Ability to write and maintain automated unit, integration, and end-to-end tests Monitor and troubleshoot data pipelines in production environments to identify and resolve issues. Education/Experience Requirements Bachelor''s degree in Computer Science, Information Systems or related discipline with at least five (5) years of related experience, or equivalent training and/or work experience; Master''s degree and past Financial Services industry experience preferred. Demonstrated technical expertise in Object Oriented and database technologies/concepts which resulted in deployment of enterprise quality solutions. Past experience with developing enterprise quality solutions in an iterative or Agile environment. Extensive knowledge of industry leading software engineering approaches including Test Automation, Build Automation and Configuration Management frameworks. Experience with object-oriented programming languages such as Java, Scala or Python. Essential Technical Skills Technical Background: Strong software development background with ability to contribute to technical discussions Agile Methodology: Extensive experience with Scrum, Kanban, and continuous improvement practices Big Data technologies AI Skills Prompt Engineering: Proficiency in crafting effective prompts for AI coding assistants and analysis tools SQL Skills (Window Functions, Joins, Complex Queries) Apache Spark (Development, Internals & Tuning) Cloud Technologies Programming - Python or Scala Good To Have Experience with managing production data pipelines/ETL systems Experience with CI/CD Experience writing test cases AWS certifications Candidate Skills Summary Total Years Of Exp. Total Big Data exp. Total PySpark Exp. Total Terraform exp. Expected Hourly Rate Current Location Work Authorization Contact Number #J-18808-Ljbffr Global Sumi Technologies Inc.,