Senior Data Engineer - GCP

Participate in design and implementation of enterprise-scale data pipelines and platform architecture for End-to-End data products.

Develop fault-tolerant data processing systems using advanced GCP services

Evaluate and recommend new technologies, tools, and architectural approaches

Build complex ETL/ELT workflows using Cloud Dataflow, Composer, Dataform/dbt, BigQuery and custom solutions

Implement sophisticated real-time streaming architectures with Cloud Pub/Sub, Kafka and Apache Beam

Design and optimize data processing workflows for performance, cost, and reliability

Develop advanced data transformation logic and custom processing functions

Implement data architectures and microservices-based data platforms

Design multi-environment deployment strategies and automated scaling solutions

Establish monitoring, alerting, and observability frameworks across the data platform

Lead code reviews and establish quality assurance processes

Provide technical guidance on complex problem-solving and optimization techniques

Facilitate knowledge sharing sessions and technical training programs

Collaborate with hiring managers on technical interviews and team expansion

Implement comprehensive data governance frameworks and compliance controls

Design fine-grained access controls and data classification systems

Establish automated data quality monitoring and lineage tracking

Ensure GDPR, SOX, and other regulatory compliance across data workflows

Implement privacy-preserving techniques and data anonymization strategies

Translate complex business requirements into scalable technical solutions

Coordinate cross-functional initiatives involving multiple engineering teams