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Senior Data Engineer to migrate and optimize analytics workloads from BigQuery to Databricks, building PySpark pipelines, Lakehouse architecture, and Delta Lake layers for large-scale data processing.
Builds and maintains pricing data models and semantic layers to optimize global product tariffs using cloud data tools and SQL.
Job Description ABOUT THE JOB We are looking for a skilled Senior Java Developer to design and build scalable, high-quality microservices and cloud-based applications. The ideal candidate will have strong hands-on…
Designs and builds scalable data platforms on Google Cloud Platform, focusing on Data Lakes, warehouses, and governance for modern analytics.
Build and maintain marketing analytics pipelines, run A/B tests, and create Tableau dashboards to optimize campaigns and track KPIs for an education-focused SaaS product.
Senior Data Engineer to migrate and modernize a large retail analytics platform from BigQuery to Databricks, building scalable Lakehouse pipelines with PySpark, Delta Lake, and Unity Catalog.
Builds and deploys semantic finance models for enterprise customers, integrating ERPs and warehouses to clean and govern data for AI and analytics.
Design and build scalable GCP-based data pipelines and streaming systems for wealth-management clients, using BigQuery, Dataflow, Pub/Sub, and related services.
Senior Data Engineer builds and maintains resilient data pipelines and systems for marketing analytics, using SQL, programming, and modern platforms like BigQuery and Dagster.
Senior Data Engineer builds and maintains Flinks' financial data infrastructure and ML platform, designing ETL pipelines and ensuring reliable datasets for fintech products.
Build and own scalable ETL/ELT pipelines and analytics layers in a modern data stack, transforming raw data into reliable insights for business decisions.
Designs and maintains scalable data pipelines, ETL processes, and cloud-based data warehouses to support analytics and business intelligence workflows.
Designs and builds scalable GCP-based data pipelines and real-time analytics for a healthcare platform, using BigQuery, Kafka, and PySpark.
Build and maintain cloud-native data pipelines and warehouses to power AI/ML models and analytics for a PropTech client, using Python, Spark, SQL, and tools like Snowflake, Airflow, and Kafka.
Design and scale data pipelines for enterprise AI systems and analytics workloads using SQL, ETL/ELT, and cloud data platforms.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Designs and maintains scalable data pipelines for retail analytics using Google BigQuery and Python to ensure high-quality data management.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and own the AI and data systems powering Tern’s travel-advisor platform, including pipelines, eval harnesses, and monitoring to ensure reliable, high-quality AI features.
Lead Scribd’s Data Engineering team to build scalable data pipelines and platforms for analytics and ML, setting standards and fostering collaboration.
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