Data Engineer

About the Role We are seeking a highly skilled Data Engineer with expertise in Google Cloud Platform (GCP), Generative AI, Python, SQL, ETL, Dataproc, and Airflow. The ideal candidate will play a key role in designing and implementing scalable cloud\-based data platforms, modern ETL pipelines, and AI\-enabled data solutions. Key Responsibilities * Design, build, and maintain scalable ETL/ELT pipelines using Python and SQL. * Develop cloud\-native data engineering solutions on GCP. * Implement batch and real\-time data processing pipelines using Dataproc and Dataflow. * Build and manage workflow orchestration using Apache Airflow / Cloud Composer. * Work on large\-scale structured and unstructured datasets for analytics and AI use cases. * Integrate Generative AI and LLM\-based capabilities into enterprise data platforms. * Optimize BigQuery workloads and improve data processing efficiency. * Collaborate with data scientists, analysts, architects, and business teams to deliver data\-driven solutions. * Ensure data quality, governance, scalability, reliability, and security. * Participate in architecture reviews and provide technical leadership and mentorship. Required Skills * Strong experience in **Google Cloud Platform (GCP)** services: * BigQuery * Cloud Storage * Dataflow * Pub/Sub * Dataproc * Cloud Composer / Apache Airflow * Hands\-on experience in **Generative AI / LLM solutions** . * Strong programming expertise in **Python** . * Advanced SQL development and query optimization skills. * Extensive experience in **ETL/ELT pipeline development** . * Hands\-on experience with workflow orchestration using **Apache Airflow** . * Experience in distributed data processing using **Dataproc / Spark / PySpark** . * Good understanding of data warehousing concepts and cloud architecture. * Experience with Git, CI/CD pipelines, and Agile methodologies. Preferred Skills * Experience with Vertex AI, LangChain, RAG architecture, vector databases, or AI orchestration frameworks. * Exposure to streaming technologies such as Kafka or Pub/Sub. * Knowledge of Infrastructure as Code tools such as Terraform. * Familiarity with MLOps concepts and ML pipeline integration. * GCP certifications are a plus. Educational Qualification * Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related discipline. Desired Candidate Profile * Excellent analytical and problem\-solving skills. * Strong communication and stakeholder management abilities. * Ability to work in a fast\-paced, collaborative environment. * Passion for cloud technologies, modern data platforms, and AI innovation. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.