GCP DE_6+ Years

We are looking for a highly skilled GCP Data Engineer with 5+ years of experience in designing and building scalable data solutions on Google Cloud Platform. The ideal candidate will have strong expertise in BigQuery, Python, and modern data engineering practices, with a focus on performance, reliability, and cost optimization.

Key Responsibilities

• Design, develop, and maintain scalable and robust data pipelines on GCP


• Build and optimize data warehouses using BigQuery (partitioning, clustering, query tuning)


• Develop ETL/ELT pipelines using Python and GCP-native tools


• Integrate data from multiple sources including APIs, databases, and streaming platforms


• Ensure high performance and cost efficiency of data processing systems


• Collaborate with data analysts, data scientists, and business stakeholders


• Implement data quality checks, governance, and security standards


• Monitor, debug, and optimize data workflows and pipelines


• Support batch and real-time data processing requirements

Required Skills

• 5+ years of hands-on experience in Data Engineering


• Strong experience with Google Cloud Platform (GCP)


• Expertise in BigQuery (data modeling, performance tuning)


• Strong programming skills in Python (Pandas; PySpark is a plus)


• Experience with Cloud Composer / Apache Airflow


• Knowledge of Cloud Storage, Pub/Sub, Dataflow


• Advanced SQL and strong data warehousing concepts


• Experience building scalable ETL/ELT pipelines

Preferred Skills

• Experience with Apache Spark / Databricks


• Familiarity with CI/CD pipelines and DevOps practices


• Knowledge of data visualization tools like Tableau / Looker


• Experience with streaming data processing


• Exposure to data lake / lakehouse architectures

Educational Qualification

• Bachelors or Master’s degree in Computer Science, IT, or related field

Good to Have

• GCP Certification (e.g., Professional Data Engineer)


• Experience working in Agile/Scrum environments