BigQuery Data Engineer | W2 | 10 Years+ | GCP

Job Description Below:- Job Title: Senior Data Engineer Location: Remote Description We are seeking a hands-on Data Engineer to join our team and contribute to critical backend components that are being migrated to a modern cloud environment (AWS or GCP). This role involves close collaboration with the architecture team to design and develop scalable, high-performance data pipelines and backend services to support advanced analytics and data science initiatives. Key Responsibilities: • Support cloud migration of backend and data components (AWS/GCP) • Collaborate with architects to design robust systems and integrations • Design, develop, and maintain data pipelines and ELT workflows • Implement solutions enabling Data Scientists to access, transform, and analyze data • Write clean, efficient code in Python, with occasional Java involvement • Work with SQL/NoSQL databases and build scalable data models • Engage with CI/CD tools, monitoring systems, and infrastructure • Ensure reliability and performance in production environments • Troubleshoot and debug data pipeline and infrastructure issues • Translate business needs into reliable datasets and models • Follow best practices in modern data engineering and cloud development Must-Have Qualifications: • 10+ years of experience in data engineering or backend development • Strong hands-on coding experience in Python • Experience with cloud platforms – GCP preferred, AWS acceptable • Hands-on experience with BigQuery • Strong SQL skills; experience with NoSQL databases • Familiarity with distributed data processing tools like Apache Spark • Experience integrating with backend/data services • Solid understanding of CI/CD, version control (Git), and testing practices • Strong analytical, communication, and time management skills Nice-to-Have Skills: • Experience with DBT (Data Build Tool) or BigQuery Dataform • Familiarity with Java (basic to intermediate level) • Experience with Snowflake, Dremio, or similar data platforms • Knowledge of Apache Iceberg, Delta Lake, or open table formats • Familiarity with orchestration tools like Airflow, Prefect, or Dagster • Exposure to real-time data tools (e.g., Kafka, Spark Streaming) • Experience with monitoring and logging tools in cloud environments