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Build and maintain scalable ETL pipelines and data models using Spark, Scala, and cloud storage, then deliver clean data to analytics teams via BI tools like Databricks and Power BI.
Senior Data Engineer builds and optimizes scalable data pipelines in Python/Scala to deliver high-quality insights for a global entertainment platform.
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Senior data engineer builds and maintains data pipelines using Databricks, Python, and SQL to support banking analytics and cloud migration at a top Polish bank.
Design and maintain Snowflake data pipelines, optimize schemas, and migrate on-prem warehouses to Snowflake while collaborating with cross-functional teams.
Senior Data Engineer builds scalable data pipelines and analytics solutions on GCP to enable data-driven decisions across Bunge’s global agribusiness operations.
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Design and maintain scalable data pipelines in Databricks/AWS, process large datasets via Spark, and build web-scraping tools to feed AI-driven analytics and insights.
Build and maintain cloud-based data platforms and pipelines using AWS/Azure/GCP, orchestration tools, and data processing services to enable scalable analytics and ML operations.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
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.
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.
Builds and optimizes distributed data pipelines using Apache Spark (Python/Scala) to process large datasets for enterprise clients.
Designs and maintains scalable data pipelines and BI solutions using Azure Synapse, Databricks, and PySpark to turn raw data into actionable insights for DSV’s global operations.
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.
Designs and builds scalable data pipelines and warehouses using cloud tools (AWS/Azure), SQL/NoSQL, and big-data frameworks (Spark, Kafka) to enable analytics and ML for clients.
Build and enhance Big Data pipelines for a banking client using Python/Scala and Spark, applying data warehouse principles and engineering best practices.
Build and secure CI/CD pipelines, automate deployments, and troubleshoot production issues using cloud, container, and IaC tools like Terraform, Kubernetes, and Azure.
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