Lead Data Engineer, GCP

This is a fully remote position, open to applicants in Colombia.

📋 Description

• Lead the transition of prebuilt data connectors from outdated customer systems into the platform's data integration engine.

• Design, develop, and sustain GCP-native data pipelines utilizing Dataflow, Cloud Functions, and Cloud Run.

• Ensure the integration of new data sources while preserving performance, scalability, and reliability.

• Oversee custom connector deployment and transition activities post-development team handover.

• Maintain continuity of ongoing connector implementations and facilitate knowledge transfer.

• Collaborate with the Data Architect to align with data lakehouse architecture.

• Work alongside the Data Governance Specialist on data classification and compliance with governance standards.

• Monitor and enhance data ingestion, transformation, and integration workflows.

• Assist in onboarding new data sources and ensure data quality throughout the integration process.

• Document designs, deployment processes, and technical configurations.

• Contribute to data analysis and modeling projects that align with business and operational goals.

⛳️ Requirements

• Proficient in Google Cloud Platform (GCP) data services and cloud-native architectures.

• Strong expertise in data integration and ETL processes.

• Proven experience in building and managing data pipelines using Dataflow, Cloud Functions, Cloud Run, or similar technologies.

• Background in migrating data connectors and integrating data from various enterprise systems.

• Knowledge of data lakehouse architectures and contemporary data platforms.

• Experience in data analysis and data modeling practices.

• Understanding of database technologies and principles of data management.

• Proven ability to work with large-scale datasets and distributed data processing solutions.

• Familiarity with data governance, data quality, and data classification requirements.

• Experience collaborating with architecture, engineering, and governance teams.

• Strong grasp of best practices in cloud-based data engineering.

• Experience supporting manufacturing, industrial, or operational technology environments.

• Experience in regulated environments handling sensitive information.

• Knowledge of analytics platforms like Looker.

• Experience with data migration and modernization initiatives.

• Familiarity with AI-enabled platforms and data architectures that support AI solutions.

• Experience in supporting multi-workstream and distributed delivery models.

• Knowledge of advanced GCP Big Data and Database services.

🏝️ Benefits

• Flexible working hours.

• Remote work opportunities.

• Multidisciplinary teams and collaboration.

• A multicultural global team.

• Personalized career development plans.

• Training programs.

• High-impact projects with leading industry clients.