GCP Data Engineer

Job SummaryWe are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).Develop and manage large-scale analytical data models in BigQuery.Implement event-driven data ingestion using Google Cloud Pub/Sub.Create, schedule, and monitor workflows using Apache Airflow and Autosys.Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.Optimize query performance, storage, and compute costs in GCP.Ensure data quality, governance, security, and compliance across data platforms.Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.Troubleshoot production issues and continuously improve pipeline reliability and performance.Mandatory SkillsStrong hands-on experience with Google Cloud Platform (GCP).Proficiency in Python programming.Experience in designing and implementing ETL/ELT pipelines.Strong knowledge of BigQuery.Experience with Google Cloud Dataflow (Apache Beam).Experience with Google Cloud Pub/Sub.Hands-on experience with Apache Airflow.Experience in job scheduling using Autosys.Experience with modern table formats such as Apache Iceberg or Delta Lake.Strong SQL and data modeling skills.Preferred SkillsExperience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.Knowledge of CI/CD pipelines and DevOps practices.Experience with Docker and Kubernetes.Familiarity with Git and Agile/Scrum methodologies.Knowledge of data warehousing and dimensional modeling.Exposure to streaming and real-time data processing.QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.Required ExperienceStrong experience in developing enterprise-grade data pipelines using Python and GCP.Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.Experience scheduling and monitoring batch workflows using Autosys.Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.Strong understanding of ETL best practices, performance tuning, and data optimization.Excellent analytical, troubleshooting, and problem-solving skills.Mandatory SkillsGoogle Cloud Platform (GCP)PythonETLBigQueryAutosysApache AirflowGoogle Cloud Pub/SubGoogle Cloud Dataflow (Apache Beam)Apache Iceberg / Delta LakeSQL & Data Modeling