GCP Data Engineer

Description :

- Work extensively with GCS, Dataproc, BigQuery, and Composer (Airflow) for data ingestion, processing, orchestration, and analytics.

- Develop and optimise PySpark-based data processing jobs for large datasets.

- 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.

Required Skills & Qualifications :

- 4 - 7 years of experience in Big Data engineering and cloud-based data platforms.

- Strong hands-on experience with Google Cloud Platform (GCS, Dataproc, BigQuery, Composer/Airflow).

- Proficiency in PySpark and distributed data processing frameworks.

- 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.

Preferred / Good to Have :

- Experience with CI/CD pipelines and DevOps practices.

- Exposure to other cloud platforms or modern data stack tools.

- Knowledge of data security, governance, and compliance standards.

Why Join Us :

migration.

- Be part of a dynamic, high-growth environment at NucleusTeq.

- Competitive salary and comprehensive benefits package.