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Build and optimize scalable data pipelines and AI platforms using cloud, ETL tools, and SQL for enterprise clients.
Build and maintain data pipelines and platforms at Pinterest, partnering with analysts and engineers to turn business needs into reliable, high-quality data products and insights using cloud tech and AI tools.
Designs and builds scalable data pipelines and ETL processes using AWS, Snowflake, Spark, and Python/Scala for a large enterprise.
Build and scale data pipelines and models for Lyft’s Safety and Customer Care team, enabling real-time insights and AI agent performance tracking using Spark, Python, and SQL on AWS.
Build and deploy Python-based data pipelines and ML models for financial services, using Spark, TensorFlow, and SQL to analyze risk and support decision-making.
Lead a team to build and maintain scalable data pipelines that integrate subledger financial data into ERP systems using Hadoop, Spark, Snowflake, and Databricks.
Build and optimize Azure-based data pipelines, warehouses, and analytics for Global Wealth and Asset Management using Databricks, Synapse, and Power BI.
Principal Data Engineer builds and scales Azure-based data pipelines, lakes, and analytics platforms using Databricks, PySpark, and Azure services to deliver governed data solutions for clients.
Build and maintain scalable data pipelines and warehouses to power Amazon Business’s B2B supply chain analytics and ML models.
Build and optimize data pipelines using Apache Spark and SQL for financial IT systems, processing large-scale datasets in a hybrid Warsaw role.
Build and optimize Spark-based data pipelines and SQL queries for financial and logistics clients in a hybrid Warsaw role.
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Build and maintain ETL pipelines in Scala/Spark to move and validate accounting data into a central data lake, using Databricks, Azure, and Agile practices.
Senior Data Engineer builds and optimizes large-scale data pipelines for Samsung’s cloud services and devices, processing TBs of data daily using AWS, Spark, Kafka, and Python.
Design and lead enterprise Java and Big Data solutions using Spring Boot, Spark, and cloud platforms, mentoring teams and ensuring scalable, secure architectures.
Build and maintain core Java services using Spring, Spring Boot, and Hibernate for a global tech consultancy serving finance and risk systems.
Hi, I hope you are doing well Job Title: Sr Jav Developer Duration: 9 to 12 Months position type: Contract Location: Pheonix AZ Job Details: Must Have Skills (Top 3 technical skills only) * 1. Strong technical…
NewGen is seeking a Data Architect with extensive experience building enterprise data solutions in both Databricks (Unity Catalog, Hive Metastore) and AWS (Glue, Athena, S3, Lambda, CloudWatch) and managing a data…
Build and refine large language models and GenAI systems for fraud detection and transaction analytics in a banking client project, using Python and ML techniques.
Internship role analyzing user behavior, running A/B tests, and building dashboards to improve Binance’s crypto products using SQL, Python, and visualization tools.
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