Job Description-

We are looking for a skilled Big Data Engineer with strong expertise in cloud data platforms and large-scale data processing. The ideal candidate will design, build, and optimise scalable data pipelines using Google Cloud services and Big Data technologies, ensuring efficient data processing, storage, and analytics.

Required Skills & Qualifications

• 5+ years of experience in Big Data engineering and cloud-based data platforms.
• Solid understanding of ETL/ELT processes, data warehousing, and data modelling.
• Experience with workflow orchestration tools and pipeline automation.
• Good knowledge of SQL, scripting languages, and performance tuning.
• Strong analytical, problem-solving, and communication skills.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines on Google Cloud Platform.
• Experience in Java.
• Ensure data quality, reliability, and performance through monitoring and optimization.
• Collaborate with data analysts, architects, and business stakeholders to understand requirements and deliver data solutions.
• Implement best practices in data engineering, including data governance, security, and cost optimisation.
• Troubleshoot performance bottlenecks and provide scalable solutions.
• Maintain documentation for pipelines, workflows, and system architecture.

Why Join Us?

• Work in an innovative environment with the business that is shaping the future of data migration.
• Be part of a dynamic, high-growth environment at NucleusTeq.
• Competitive salary and comprehensive benefits package.