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Senior Data Engineer
Design and maintain scalable data pipelines and warehouses in GCP, building ETL/ELT processes and SQL models to power analytics and decision-making for a global social-first marketing agency.
Senior Data Engineer
Senior Data Engineer at DiDi troubleshoots large-scale data pipelines, optimizes BI/ETL systems, and resolves complex data issues across global teams using SQL, Python, and cloud data warehouses.
Data Engineer (Senior)
Design and build Prospera AI’s data infrastructure from scratch, including Snowflake warehouse, ETL pipelines with dbt/Airflow, and ML feature stores to power analytics and AI model training.
Data Engineer
Build and maintain scalable data pipelines and cloud-based analytics solutions using Python, SQL, and tools like Databricks and Spark to turn marketing and media data into actionable insights.
Data Engineer - Databricks & Snowflake
Build and maintain Snowflake-based data pipelines and EDW platforms using Azure Data Factory, monitoring jobs, resolving incidents, and optimizing performance in a 24/7 support model.
Databricks Data Engineer: Lakehouse Pipelines & PySpark
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
Data Engineer: Enterprise Data Warehouse & AI Pipelines
Designs and builds enterprise data warehouses and AI pipelines using SQL and Databricks for large-scale analytics and ETL/ELT workflows.
Data Engineer
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Data Engineer
Build and maintain scalable data pipelines in Microsoft Fabric/Azure to power analytics and AI for a top North American furniture retailer.
Data Engineer
Build and maintain scalable data pipelines and models in Snowflake using Python, SQL, and dbt to power analytics for an ecommerce business.
Data Engineer
Build and maintain data pipelines, ETL/ELT logic, and curated datasets to power analytics and dashboards for a smoke-free future initiative.
Lead Data Engineer
Lead a team designing and building end-to-end data pipelines, warehouses, and analytics for clients using cloud platforms, SQL, Python, and DevOps practices.
Senior Data Engineer
Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Senior Data Engineer
Senior Data Engineer building scalable pipelines and data platforms to power analytics and AI features, using SQL, Python, Airflow, and cloud data tools.
Full Stack Data Analyst
Build and maintain data pipelines, dashboards, and AI-driven tools to inform logistics operations and ecommerce decisions using SQL, Python, and tools like DBT, Fivetran, and Hex.
Remote Data Engineer: Snowflake & Secure Data Pipelines
Designs and maintains scalable Snowflake-based data infrastructure and secure ELT pipelines using Python and AWS, ensuring high performance and data privacy.
Data Engineer
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Data Engineer
Builds and maintains data pipelines and Snowflake transformations to feed AI-driven analytics and decision-making systems using Python, SQL, and cloud platforms.
Data Engineer
Designs and builds data pipelines, warehouses, and lakes using Java, Python, Spark, and SQL to move and transform data for analytics and applications.
Data Engineer: Big Data Pipelines & Cloud (Finance)
Builds and maintains big-data pipelines in AWS or GCP using SQL, Python/Scala, and Spark to feed analytics and ML models for a financial-services company.