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Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
Design and build large-scale data pipelines and warehouses for a high-traffic ad exchange, processing over 1 PB of daily events with Java/Scala/Python, Spark, BigQuery, and GCP.
Build and optimize large-scale data pipelines and warehouses for a digital ad exchange handling billions of daily requests, using Java/Scala/Python, Spark, BigQuery, and GCP.
Senior Big Data Engineer builds and maintains scalable data pipelines using Scala, Spark, and Kubernetes to process large datasets and generate reports for enterprise clients.
Senior Data Engineer builds and scales data pipelines for Tesco’s fulfillment operations, optimizing order and delivery data to improve logistics and delivery efficiency using Spark, Hive, and Airflow.
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Designs and builds scalable data pipelines on Google Cloud using BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Build and maintain ETL pipelines using Spark/Scala to move and transform data between systems, ensuring quality and integration with microservices in a hybrid Warsaw role.
Designs and builds scalable data pipelines on Google Cloud, focusing on BigQuery, Dataflow, and Airflow to support analytics and AI workloads.
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and regulatory reporting, using SQL, Snowpark, and Airflow.
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Airflow to replicate and process BMC Helix data in a SAFe Scrum team.
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Apache Airflow for near real-time data replication.
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