Hire Remote Senior
Data Engineering Developers
in Bogotá

Data Engineer/Scientist with over five years of experience developing and deploying Data Science products for predictive purposes in energies, healthcare, and tourism industries. Wide-ranging experience as Data Engineer working with big and unstructured data on-premises and in the cloud. Solid experience with frameworks, cloud services and, deployment services such as MLOps, Snowflake, DVC, Azure Data Factory, CI/CD, Airflow, MLFlow, Terraform, Docker and, agile methodologies. Technical background in cloud platforms such as Azure, Google Cloud Platform, and IBM Cloud. Extensive experience with collaborative tools such as GitHub, GitLab, and Bitbucket. Statistics and solid mathematical knowledge because of over ten years of experience as a Chemical Engineer. **Proficient in English and bilingual in Spanish and Portuguese, beginner in French**.

Data EngineeringData ScienceData warehouseGoogle Cloud PlatformApache SparkAirflowAzure Data FactoryETLCloud FirestorePythonSQLAzureDatabricksMLOpsSnowflakeGitPostgreSQLMatplotlibPandasMachine learningJiraGeospatial TechnologyDockerDeep LearningTerraformTensorFlowXarrayGitHubScipyGoogle BigQueryOracle SQLSeabornPower BIHTML/CSSFlaskGoogle App EngineJavaScript

As a data lover, I enjoy helping companies solve their problems, such as data cleansing, ETL maintenance, and data migration wherever needed, orchestration is the key when you want to automate the delivery of the different types of data in real-time or batch, either to a data warehouse, a specific bucket or by email in any format of interest like CSV, JSON, parquet among others. I consider myself a fan of task automation and ETL processes for this reason I keep learning each day about technologies like Airflow, Apache NIFI, AWS Lambda among others.

Data EngineeringETLApache SparkGoogle Cloud PlatformData LakeData warehouseAirflowApache NiFiPythonWeb ScrapingGoogle BigQuerySQLJiraSnowflakeOpenCVTensorFlowYolov4

Senior DataScientist and Data engineer with 7+ years experience in designing, developing, testing, and supporting enterprise data products in development and production environments for Publicis Group, one of the largest advertising companies in the world, and currently Disney. Skilled in cloud engineering, cloud databases, data warehousing, database design, requirements gathering, data product QA, and data pipeline design. Knowledge of EDA and modeling techniques for mlops, principally recommendations systems and deep learning pipelines.

Data EngineeringData warehouseApache SparkGoogle Cloud PlatformETLAWSPythonSQLPower BITableauLookerPandasNoSQLReactDatabricksRPentaho