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Principal BI Architect – Agentic BI
We are seeking a hands-on Manager – BI & Analytics to lead the design, development, and delivery of enterprise-scale BI and analytics solutions. The ideal candidate will have deep expertise in Power BI, Tableau,…
Analytics Engineer
Build and maintain scalable data pipelines and metrics for DoorDash’s analytics stack, partnering with data engineers and scientists to deliver trusted, self-serve insights using SQL, Python, and tools like Snowflake and dbt.
Senior Software Engineer, Data Engineering
Build and scale data pipelines, warehouses, and models to power analytics and reporting at DoorDash, using Python/Java, Spark, Kafka, Airflow, and cloud data platforms.
Software Engineer II, Data Engineering
Build and scale high-performance data pipelines and warehouse models to power analytics and reporting at DoorDash, using Python/Java, Spark, Airflow, Kafka, and Snowflake.
Analytics Engineer, Data Science
Builds and maintains data pipelines, metrics, and dashboards to enable data-driven decisions across DoorDash's operations, logistics, and business teams using SQL, Python, and visualization tools.
Data Engineer
Designs and maintains large-scale data pipelines and warehouses for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools like AWS/GCP.
Data Engineer – Brazil – Vaga exclusiva para PCD
Builds and scales data pipelines, warehouses, and analytics systems for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools.
Data Science, Analytics Engineer - Vaga exclusiva para PCD
Build and maintain data pipelines, metrics, and dashboards to enable data-driven decisions across DoorDash’s operations using SQL, Python, and tools like Tableau and Spark.
Analytics Engineer, India
Build and maintain scalable data pipelines and metrics for DoorDash’s logistics operations, partnering with engineers and analysts to deliver trusted, self-serve analytics using SQL, Python, and tools like Snowflake and Tableau.
Senior Software Engineer, Data Engineering
Build and scale large-scale data pipelines and warehouses for analytics, reporting, and financial systems using Python/Java, Spark, Airflow, and Snowflake.
Data Engineer - Data Warehouse, BigData, Python and SQL
Design and build data pipelines and warehouses to handle high-volume processing, integrating complex data structures and ensuring data quality. Work with SQL, AWS tools (Redshift, Glue, EMR), Spark, and Hadoop in a cloud environment.
Бизнес-аналитик
A Business Analyst at MTS in Moscow analyzes data from sources like Greenplum and Hadoop, develops data quality rules, corrects data, consults on data usage, maintains business dictionaries, documents data schemas/ETL, and supports business glossaries. Core technologies include Greenplum, Hadoop, advanced SQL, and Excel.
DevOps инженер (Big Data)
Что нужно делать: Поддерживать и развивать внутренние платформы больших данных. Участвовать в проекте по миграции на новую архитектуру. Осуществлять развертывание, конфигурацию и поддержку серверов, виртуальных машин,…
Data Engineer with Java
Build and own data ingestion pipelines (streaming and batch) for a London-based fintech, using Java 21/Spring Boot, Kafka, MS SQL Server, and Azure Databricks/Spark to turn banking and transactional data into actionable insights.
Remote Senior Data Engineer — AI-Driven Platform
A Senior Data Engineer at Hive.co builds and maintains end-to-end data pipelines and ML platforms at scale, using cloud-native systems and applying LLMs to production data.
Analytics Engineer
Design, develop, and automate data pipelines for the Loyalty Data Product Engineering team using PySpark, SQL, and Databricks to maintain data quality and support business stakeholders.
Analytics Engineer
Analytics Engineer working on Loyalty Data Product Engineering team, designing and automating data pipelines using PySpark, Airflow, SQL, and ETL processes to support customer analytics and data quality governance.
Analytics Engineer
Analytics Engineer at Canadian Tire Financial Services working on the Loyalty Data Product Engineering team, designing and developing data pipelines using technologies like PySpark, Airflow, SQL, and cloud platforms to support customer analytics and enhance brand experience.
Analytics Engineer
An Analytics Engineer at Canadian Tire designs, develops, and automates data pipelines for loyalty data, monitors data quality, and supports business stakeholders using technologies like PySpark, Airflow, and SQL.
Senior Software Engineer, Data Systems
Designs and maintains a cloud-native data/ML platform for Hive’s event-marketing SaaS, building pipelines, feature stores, and observability for real-time audience data (millions of attendees, billions of interactions) to power personalized campaigns and model-driven recommendations.