GCP Data Architect

As a Data Engineer at Codvo, you will be responsible for designing, implementing, and maintaining scalable data pipelines on Google Cloud Platform (GCP) including BigQuery, Dataflow, Pub/Sub, and Cloud Storage. You will ingest and process real-time data from connected vehicles and IoT devices. Additionally, your role will involve developing and maintaining ETL/ELT workflows using Python, SQL, and Apache Beam/Spark. Ensuring data quality, lineage, and governance in the data lake will be a key part of your responsibilities. You will act as a bridge between data engineering and analytics teams, performing data wrangling, feature engineering, and ML model prototyping. Supporting pipeline automation and ML model deployment on GCP will also be part of your duties. Collaboration with AI/ML leads to operationalize machine learning pipelines and integrate data solutions with applications is essential for this role. Qualifications Required: - Strong experience with Python, SQL, and GCP services (BigQuery, Dataflow, Vertex AI, Pub/Sub, Cloud Storage). - Experience with Airflow, CI/CD, and data pipeline orchestration. - Familiarity with ML frameworks (scikit-learn, TensorFlow) and feature engineering. - Expertise in API integration, data ingestion, and automation of ML pipelines. - Strong understanding of data quality, governance, and lineage best practices. At Codvo, we are committed to providing a culture of innovation, collaboration, and growth. Join our team to solve complex data challenges with creativity and cutting-edge technology.,