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Senior Data Engineer
Senior Data Engineer designing scalable, event-driven data architectures and cloud cost optimization for enterprise clients, primarily in finance, using Python, Spark, AWS, and Kubernetes.
Senior Data Engineer
Senior Data Engineer designing scalable, event-driven data architectures and cloud cost optimization in AWS for enterprise analytics and ML pipelines.
Senior Data Engineer
Build and maintain scalable data pipelines and ETL workflows using Databricks, Apache Spark, and cloud services to power analytics and ML workloads.
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 ETL pipelines with Azure Data Factory and Databricks, process large datasets with Spark, and deploy ML models using Python and Azure.
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.
Azure Data Engineer
Build and maintain large-scale data pipelines using Azure Databricks, PySpark, and SQL to process terabyte datasets and ensure data quality.
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.
Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Python, Spark, Kafka, and cloud platforms (AWS/Azure) to enable analytics and decision-making.
Senior Data Engineer – ML Pipelines & Growth (Remote)
Build and own scalable data pipelines and ML-ready datasets, transforming raw data into reliable inputs for machine learning models.
Senior Data Engineer: Databricks Pipelines + Lakehouse
Designs, builds, and maintains scalable data pipelines and ETL workflows using Databricks and Apache Spark to support analytics and ML workloads.
Senior Data Engineer: Azure ETL Pipelines & Data Warehouse
Designs and builds scalable Azure ETL pipelines and data warehouses using Spark, Kafka, Docker, and Kubernetes to ensure reliable data processing and availability.
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: Scale Pipelines, Spark & Data Lakes
Design, build, and optimize scalable data pipelines using Databricks, Spark, and Delta Lake for analytics and ML workloads, ensuring data quality and governance.
Junior Data Engineer
Build and maintain data pipelines and cloud-based architectures for Fortune 500 clients, coding primarily in Python or Scala and working with Spark, Azure, and Databricks.
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.