Requirements

Expected technologies

Google Cloud Platform

Dataplex

BigQuery

Dataflow

Apache Beam

Airflow

Kafka

Spark

Our requirements

• Minimum 7 years of experience in data architecture, database design, and data engineering
• Strong expertise in Google Cloud Platform (GCP), including Dataplex, BigQuery, Dataflow (Apache Beam), and other GCP-native data tools
• Experience with Apache-based data pipelining tools (e.g., Beam, Airflow, Kafka, Spark) for scalable data processing and orchestration
• Expertise in data modeling (conceptual, logical, and physical) for structured and semi-structured data
• Solid knowledge of ETL/ELT processes, data transformation, and integration techniques in cloud environments
• Strong understanding of data governance, metadata management, and data security within GCP
• Excellent communication and presentation skills — ability to engage with clients, present technical solutions, and translate complex data concepts into clear business insights
• Proven ability to collaborate with cross-functional teams, including engineers, analysts, and business stakeholders, to ensure data integrity and accessibility

Your responsibilities

• Design, implement, and optimize data solutions in GCP for cloud-native data architecture
• Leverage Dataplex for data governance, cataloging, and lifecycle management
• Build and manage Apache-based data pipelines (Beam, Airflow, Kafka) to ensure efficient and scalable data processing
• Develop and maintain ETL/ELT workflows, focusing on cloud-based and streaming architectures
• Define and enforce data governance and compliance best practices across platforms
• Collaborate with engineering and analytics teams to ensure data availability, reliability, and performance
• Provide expertise in big data processing and enterprise-scale analytics solutions on GCP
• Stay updated with emerging data technologies and recommend improvements to existing data architecture