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is one of the biggest recruitment and career platforms on the United States market, with 20+ million registered users. The company is founded and managed by Hungarian professionals who introduced and developed the well…
Senior Solution Architect designs and implements large-scale Databricks Lakehouse Platform solutions for enterprise clients, optimizing Apache Spark workloads and guiding CI/CD/MLOps pipelines.
Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights…
Build and maintain scalable data models and pipelines in Databricks/dbt to turn raw user and product data into trusted, analytics-ready datasets for reporting and AI-driven insights across the family-focused platform.
Build and maintain end-to-end data pipelines for large-scale ECG medical datasets, including preprocessing, quality validation, and monitoring to support AI/ML model training and healthcare analytics.
Build and optimize Databricks-based ETL/ELT pipelines and lakehouse data solutions to modernize an enterprise data platform, using Python, SQL, and cloud-native tooling.
Build scalable data pipelines and infrastructure for early-stage startups in AI, cybersecurity, healthtech, fintech, and devtools, enabling trusted data products and analytics.
Act as a trusted Databricks advisor for enterprise clients, designing and optimizing cloud-native data/AI architectures on the Lakehouse platform and guiding end-to-end delivery of scalable analytics and GenAI solutions.
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…
Build and maintain scalable data pipelines and warehouses for a national real-estate group, using Python, Spark, SQL, Azure/Fabric, and Medallion Architecture to deliver timely reporting.
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.
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.
Our Company Explore how you can contribute at AmeriLife. For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning…
Design and build end-to-end ETL pipelines and data models for supply-chain planning, integrating ERP, IoT, and logistics feeds using Python, Spark, Kafka, and cloud platforms.
Senior Data Engineer Consultant builds and maintains secure, scalable cloud data platforms and pipelines, focusing on data quality, governance, and AI-ready foundations for clients.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
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