Candidate Skill:
GCP, BigQuery, Dataflow, Pub/Sub, SQL, Python, ETL, Data Engineering
Job Description:
We are looking for a Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data pipelines and data infrastructure. The ideal candidate should have hands-on experience with big data technologies and cloud-based data solutions. Key Responsibilities Design and develop scalable data pipelines on GCP Build and maintain ETL/ELT processes for large datasets Work with BigQuery, Dataflow, Pub/Sub, Cloud Storage Optimize data processing performance and cost efficiency Collaborate with data scientists, analysts, and cross-functional teams Ensure data quality, governance, and security Troubleshoot and resolve data-related issues Required Skills Strong experience in GCP (BigQuery, Dataflow, Pub/Sub) Expertise in SQL and Python / Scala Hands-on with ETL tools and data pipeline development Experience with Apache Spark / Beam Knowledge of data warehousing concepts Familiarity with CI/CD and version control (Git) Good to Have GCP certifications (Professional Data Engineer) Experience with Airflow / Composer Knowledge of real-time data streaming Exposure to Data Lakes and Lakehouse architecture
