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Designs and builds scalable data pipelines and platforms using PySpark and distributed technologies in a hybrid setup.
Designs and builds scalable data pipelines and analytics solutions on AWS using Python, PySpark, and modern orchestration tools.
Builds and maintains data pipelines on AWS using PySpark, Python, and Airflow to enable analytics and reporting.
Senior developer builds and tests RESTful APIs and AI-powered web apps using React, Node.js, and Next.js, with expertise in agentic AI, ML models, and cloud platforms like Azure.
Designs and executes test strategies for AWS-based cloud data platforms, validates ETL/ELT pipelines, ensures data integrity, and builds automated testing frameworks using AWS Glue, EMR, Redshift, DynamoDB, SQL, PySpark, and Python.
Designs and runs tests for AWS-based ETL/ELT pipelines, ensuring data integrity in lakes and warehouses using SQL, PySpark, and CI/CD.
Build and maintain data pipelines in Spark (Scala) for a large French bank’s data engineering team, integrating batch, streaming, and API flows with Kafka, HDFS, and Cassandra.
Develops and maintains Python/PySpark applications by translating use cases into functional code, ensuring performance, quality, and responsiveness while identifying and resolving bottlenecks and bugs.
Чем предстоит заниматься Проектирование и разработка отказоустойчивых ETL/ELT процессов в экосистеме Hadoop и Oracle Оптимизация и сопровождение пайплайнов данных (Spark, PySpark, Airflow) Интеграция новых источников…
Designs and maintains data pipelines, infrastructure (AWS DMS, HBase, Kafka, Airflow, etc.), and tools to enable data-driven decisions for Wattpad’s storytelling platform.
Senior API developer specializing in building and maintaining RESTful APIs, AI-driven systems, and Progressive Web Apps using React, TypeScript, Node.js, and Next.js. Focuses on integrating AI agents, MLOps, and cloud platforms like Azure.
Designs and builds modern data platforms using Microsoft Fabric, leading architecture decisions, and collaborates with clients to deliver scalable data pipelines and AI solutions in healthcare, government, and logistics sectors.
Builds scalable Azure data pipelines and AI-ready platforms using PySpark, SQL, and Python, with Fabric, Databricks, and Power BI.
Leads the architecture and development of an AI-driven data platform using Microsoft Fabric, building PySpark/SQL/Python pipelines and DBT to deliver business and AI value.
Build scalable Azure data pipelines with PySpark, SQL, and Python, using Databricks, Fabric, and Snowflake to create AI-ready platforms and dashboards for healthcare, government, and retail.
Build and productionize predictive models to forecast shrink and damages for a large retail chain, using Python, SQL, and PySpark to automate analytics workflows and deliver insights to business stakeholders.
Build and deploy custom analytics tools for federal analysts, integrating front-end UIs with back-end services using Python, Java, and PySpark.
Designs and guides secure, scalable data pipelines and AI/ML workflows in Databricks and Palantir Foundry for mission-critical environments.
Senior Data Engineer builds serverless AWS pipelines and data models to power AI/ML and analytics for ParetoHealth’s healthcare cost-reduction platform.
The Data Engineer will design and deploy scalable, AI-enabled data pipelines and machine learning models for Department of Defense mission-critical environments. The role involves working with Python, Spark, and containerized cloud technologies to transform structured and unstructured data into operational insights.
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