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Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Build and operate cloud data pipelines using Python, Google Cloud, and Terraform to deliver scalable data products and KPIs in an agile team.
Build and maintain Python-based data pipelines and REST APIs for a data hub, using SQL and Airflow, with occasional Angular frontend work for pricing features.
Build and optimize Data Lake and DWH solutions in GCP, using Python/Rust, Kafka, and BigQuery to power business decisions and integrate data pipelines.
Build and maintain cloud data warehouse solutions (Snowflake) and CI/CD pipelines for a global media group, using SQL, dbt, Airflow, and AWS.
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Build and optimize Python-based ETL/ELT pipelines to migrate on-prem MS SQL Server data into Databricks, ensuring data quality and performance for AI/ML projects.
Lead a team to design and build scalable data pipelines using Spark/Scala, Airflow, and cloud platforms, while mentoring engineers and ensuring regulatory compliance.
Build and maintain Zendesk’s globally distributed data platform using AWS, Spark, Flink, and Kubernetes to power customer-facing analytics and ML initiatives.
Staff Data Engineer builds and maintains the analytics data foundation at Zendesk, designing scalable pipelines and semantic layers to power product decisions and improve customer retention using modern tools like dbt, Snowflake, and Airflow.
Build and operate cloud data pipelines and services for a loyalty platform, using Python, Google Cloud, and Terraform in an agile DataOps team.
Builds and optimizes data pipelines for retail order and delivery systems using Spark, HDFS, and Airflow to ensure data integrity and support analytics teams.
Build and maintain scalable data pipelines for Tesco’s fulfillment operations, processing order and delivery data to optimize logistics and support analytics teams.
Build and scale ad-tech data infrastructure that processes billions of events daily, transforming raw ad server and SSP/DSP data into real-time analytics for campaign optimization and business intelligence.
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.
Build and maintain large-scale data pipelines and analytics platforms for ad-tech, transforming media consumption data into insights using SQL, Python, Airflow, and cloud services.
Build and maintain the internal platform that runs e-commerce services, focusing on GCP, Kubernetes, CI/CD, observability, and AI-driven tooling to support developers and data teams.
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