Data Engineer

Responsibilities:

• Design, develop, and deploy data ingestion and transformation pipelines using Apache Spark (Scala).
• Work within Google Cloud Platform (GCP) components including Dataproc, BigQuery & Cloud Storage.
• Write complex SQL queries for data analysis, validation, and transformation in BigQuery.
• Develop Unix shell scripts for automation, data movement, and pipeline orchestration.
• Optimise and troubleshoot data pipelines for performance, scalability, and reliability.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and ensure data quality.
• Contribute to code reviews, documentation, and CI/CD integration of data workflows.

Requirements:

• 4-6 years of hands-on experience in data engineering or related roles.
• Proven experience developing Spark applications in Scala.
• Strong experience working in Google Cloud Platform (GCP) ecosystem, including Dataproc, BigQuery, and Cloud Storage.
• Proficient in SQL (especially BigQuery SQL dialects).
• Strong experience with Unix/Linux scripting for data automation.
• Familiarity with version control (Git) and CI/CD processes.
• Excellent problem-solving and debugging skills.
• Strong communication and documentation abilities.

Nice-to-Have Skills:

• Experience with Python for data processing or automation.
• Knowledge of data governance, data quality, or metadata management best practices.
• Bachelor's degree in Computer Science, Engineering, or a related technical discipline (or equivalent work experience).