Big Data Engineer - Hadoop / Spark

Position Overview :

We are looking for a skilled and detail-oriented Big Data Engineer to design, develop, and maintain scalable data pipelines and architectures.

The role involves working with large datasets, integrating diverse data sources, and ensuring data availability for analytics, machine learning, and business intelligence.

The ideal candidate will have strong expertise in big data technologies and the ability to collaborate with cross-functional teams to deliver data-driven solutions.

Key Responsibilities :

• Design, build, and optimize large-scale data pipelines for ingestion, transformation, and storage.
• Work with structured and unstructured data across multiple platforms and sources.
• Implement and maintain data lake and data warehouse solutions.
• Develop scalable ETL (Extract, Transform, Load) processes.
• Ensure data quality, security, and governance across systems.
• Collaborate with data scientists, analysts, and business teams to provide reliable data solutions.
• Monitor and optimize the performance of big data clusters and processing jobs.
• Research and integrate emerging big data tools and technologies.
• Troubleshoot and resolve issues related to data processing and storage.

Key Skills & Competencies :

Qualifications :

(ref : hirist.tech)