Big Data Engineer

We are looking for a "Senior - Mid Big Data Engineer " on behalf of our global business partner runs in Telecommunications Industry.

About Role

We are looking for a Senior–Mid Big Data Engineer to join our delivery-focused Big Data team. This role is fully aligned with production data migration and Big Data service deployment activities.

Key Responsibilities

• Execute data migration projects, ensuring data accuracy, performance, and operational stability.
• Deploy, configure, and operate Big Data services and platforms in live production environments.
• Install, configure, and maintain Big Data clusters, including Hadoop ecosystem components (HDFS, Hive, Spark, Flink, MapReduce).
• Perform DWS (Data Warehouse Service) deployments, including setup, configuration, tuning, and post-deployment support.
• Design, implement, and maintain ETL/ELT pipelines for production Data Warehouses and Data Lakes.
• Optimize and troubleshoot batch processing workloads using Hive, Spark, and related technologies.
• Implement and support data ingestion pipelines, including real-time components where applicable.
• Provide on-site and remote delivery support to international customers during deployment and migration phases.

Requirements

Required Qualifications

• BSc or MSc degree in Computer Engineering, Computer Science, Software Engineering, or a related technical discipline.
• 4–8 years of professional experience in Big Data Engineering, with a strong focus on delivery, data migration, and production operations.
• Strong experience with Spark, Flink, Hadoop, and related Big Data technologies.
• Proficiency in Python or Java.
• Solid experience with SQL development (MySQL, PostgreSQL).
• Hands-on experience with batch processing using Hive and Spark.
• Strong understanding of Data Warehouse and Data Lake architectures.
• Experience working in Unix/Linux environments.
• Ability to work in production environments with high availability and performance requirements.
• Strong communication skills in international delivery teams.
• Fluency in written and spoken English is mandatory.
• Willingness and flexibility to travel internationally.
• Strong sense of ownership for end-to-end delivery and production stability.

Nice to Have

• Experience with real-time ingestion systems such as Kafka or RabbitMQ.
• Experience with monitoring, alerting, and performance tuning of Big Data platforms.
• Exposure to cloud-native Big Data services.

Seniority Expectations

• Solid understanding of ETL/ELT methodologies and production best practices.
• Proven ability to design, deploy, and operate complex data pipelines in live environments.
• Ability to independently own delivery activities, guide implementation decisions, and mentor junior engineers.