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Builds a manufacturing-data platform that unifies factory data, models plant ontologies, and deploys agentic shop-floor apps using React, Python, TypeScript, or Rust.
Build and maintain data pipelines, streams, and warehouses using Talend, PySpark, Kafka, and AWS services for a client in Reading, PA.
Design and teach a next-gen data platform for a fintech SaaS that unifies due-diligence data from 150+ countries, migrating from SQL Server to PostgreSQL and adding AI-native features like vector search and semantic matching.
Senior Data Engineer builds and maintains scalable data pipelines, transforms raw data into insights, and ensures reliable ETL workflows using PySpark, Databricks, Azure, and AWS tools.
Designs and builds scalable data pipelines using PySpark, Databricks, and Azure tools to transform raw data into actionable business insights, while mentoring the team and ensuring system reliability.
Build and evolve eBay’s declarative data platform to eliminate duplication and optimize pipelines at scale, focusing on distributed systems for ingestion, streaming, and lakehouse/warehouse.
Build and maintain scalable data pipelines, ETL/ELT solutions, and data warehouses using PySpark, AWS, and modern data platforms to process and analyze large-scale financial data securely.
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to power enterprise analytics and ETL workflows.
Build and modernize MiQ’s data ingestion and lakehouse platform using Python, PySpark, and Delta Lake on AWS to retire legacy systems and enforce data quality at scale.
Role: Data Bricks Developer Experience: 5+ Years Location: Gurgaon OR Bangalore Work Mode: Work From Office [5 Days Office] POSITION SUMMARY The Databricks Data Engineer will be responsible for designing, building, and…
Senior Data Engineer builds and optimizes Azure/Databricks SQL pipelines for a global mining company’s enterprise data platform, focusing on scalable Lakehouse architectures and Spark SQL transformations.
Design and evolve a scalable Azure-based data and analytics platform for GSK’s German organization, integrating Databricks, SQL, and Power BI to enable self-service analytics and AI-driven insights.
Build and optimize scalable data pipelines and analytics architectures using Microsoft Fabric, Azure Data Factory, and Medallion Architecture to support business intelligence and AI-driven insights.
Design and industrialize IoT and embedded data platforms, building scalable batch/streaming pipelines and ensuring data quality for smart-factory and connected-product initiatives.
Build and maintain Python/SQL backend services and data pipelines for a modern data platform, integrating with data lakes and lakehouse architectures.
Designs and delivers scalable, enterprise-grade data platforms using cloud ecosystems like Databricks, dimensional modelling (Kimball), and modern data pipelines.
Build and maintain RethinkFirst’s Microsoft Fabric Lakehouse and Azure Synapse warehouse, designing scalable pipelines, dimensional models, and ETL/ELT workflows using SQL, Python, and C# to deliver reliable, secure data for analytics and BI.
Design and build scalable data pipelines on Databricks using Spark, Delta Lake, and Lakehouse architecture to power enterprise reporting, analytics, and AI solutions.
Lead a team to design and modernize enterprise-scale data platforms using Databricks, building scalable pipelines and trusted data products for analytics and AI across the insurance company.
Designs and governs enterprise-scale data platforms and models (Databricks, Data Vault 2.0, SQL) to power analytics, AI, and regulatory reporting for an insurance-focused fintech company.
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