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At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.
Job Responsibility
Design, implement, and maintain scalable data pipelines on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
Ingest and process real-time data from connected vehicles and IoT devices
Develop and maintain ETL/ELT workflows using Python, SQL, and Apache Beam/Spark
Ensure data quality, lineage, and governance in the data lake
Act as a bridge between data engineering and analytics teams, performing data wrangling, feature engineering, and ML model prototyping
Support pipeline automation and ML model deployment on GCP
Collaborate with AI/ML leads to operationalize machine learning pipelines and integrate data solutions with applications
Requirements
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