Data Engineer (GCP)

As a Data Engineer at Codvo, you will play a crucial role in designing and maintaining scalable data pipelines on Google Cloud Platform (GCP). Your responsibilities will include: - Designing, implementing, and maintaining scalable data pipelines on GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. - Ingesting and processing real-time data from connected vehicles and IoT devices. - Developing and maintaining ETL/ELT workflows using Python, SQL, and Apache Beam/Spark. - Ensuring data quality, lineage, and governance in the data lake. - Acting 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. - Collaborating with AI/ML leads to operationalize machine learning pipelines and integrate data solutions with applications. Your skills and expertise should include: - 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 such as 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 dedicated to building scalable, future-ready data platforms and fostering a culture of innovation, collaboration, and growth. Join us to tackle complex data challenges with cutting-edge technology and creativity.,