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)
Solid 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 solid 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 settings Skills: scala,python,gcp,spark

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