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 up-to-date 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 robust 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 Valuable to Have GCP Certification (e.g., Qualified Data Engineer)

Experience working in Agile/Scrum environments Client industry you are hiring for Skills: scala,python,gcp,spark

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