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Staff Engineer - Cloud DevOps/ SRE
Staff Engineer designs and maintains GCP-based Kubernetes infrastructure handling 1B+ daily requests, automates deployments with Terraform/Helm, and ensures reliability for global automotive and media services.
Lead Data Engineer
Lead a team to design and build scalable data platforms (Data Lakes, pipelines) using Python, SQL, Spark, and GCP, while mentoring engineers and aligning architecture with business needs.
Senior Data Engineer
Design and build scalable data pipelines and warehouses using Python, SQL, and Spark to feed analytics and ML systems for clients.
Middle Data Engineer
Designs and maintains scalable data pipelines and warehouses for analytics and ML using Snowflake, dbt, ADF, and Azure; writes efficient SQL and Python to process large datasets.
Senior Data Engineer
Build and maintain GCP-based data pipelines (batch/streaming) for analytics and ML, using BigQuery, Dataflow, Pub/Sub, Kafka, and ClickHouse.
GCP Data Engineer
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
GCP Data Engineer: BigQuery Pipelines & Cloud Infra
Designs and maintains scalable GCP data pipelines with BigQuery, ensuring performance and reliability while collaborating with analytics and BI teams.
Data Engineer - Global Pipelines & Cloud Innovation (Hybrid)
Builds and optimizes global data pipelines on GCP, using BigQuery, Dataflow, dbt, and Airflow to deliver clean data for analytics and reporting.
GCP Data Engineer: BigQuery & Scalable Pipelines
Designs and maintains scalable data pipelines on GCP, models data in BigQuery, and optimizes queries and costs using Airflow, Terraform, and BI collaboration.
Data Engineer
Build and maintain data pipelines, warehouses, and governance for an insurance-focused platform using Python, Databricks/Snowflake, and cloud services.
Data Engineer
Senior Data Engineer builds, optimizes, and maintains high-volume data pipelines in GCP and on-prem using Python, PySpark, ETL tools, and Rust for performance-critical components.
Data Engineer
Builds and maintains a modern cloud data platform for a large financial institution using GCP, BigQuery, dbt, and Airflow.
Cloud Data Engineer: BigQuery, Airflow & Pipelines
Designs and maintains scalable data pipelines on GCP using BigQuery, Airflow/Cloud Composer, and Terraform to ensure reliable, high-performance data delivery for analytics and BI teams.
Data Engineer
Design and build cloud and on-premise data platforms, ETL pipelines, and warehouses using SQL, Python, BigQuery, DBT, Airflow, and Trino to support analytics and reporting.
Data Architect
Designs and implements scalable, secure cloud data architectures across GCP, AWS, and Azure to support analytics, AI/ML, and real-time systems for a cloud-first enterprise.
Senior Data Engineer - Scalable Pipelines & BigQuery
Designs and builds scalable data pipelines using GCP BigQuery and Spark to deliver reliable data delivery and enable data-driven insights for cross-functional teams.
Cloud Data Engineer: BigQuery & Pipelines
Designs and maintains scalable data pipelines on GCP using BigQuery and Cloud Storage, applying data engineering best practices and CI/CD.
Machine Learning Engineer
Senior AI/ML engineer builds and deploys production-grade agentic AI systems using LangGraph, Python, and GCP for retail/loyalty applications.
GCP Data Engineer – BigQuery & Pipelines
Design and maintain scalable data pipelines on Google Cloud using BigQuery, SQL, Python, Airflow, and Terraform for analytics and BI teams.
Data-Focused Business Intelligence Analyst
Analyze user engagement and ad performance using SQL, BigQuery, and Power BI to create reports and optimize product experiments for a global adtech company.