We are seeking a Data Engineer with strong Spark fundamentals and experience working in cloud-based data environments. The ideal candidate will have hands-on expertise in building scalable data pipelines and leveraging modern development tools to improve productivity.
EazyML, recognized by Gartner, EazyML ( specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and the company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for a
Skill: Big Data Engineer Exp: 5 to 8 years Loc: Pune preferred, Mumbai ,Chennai, Bangalore, Hyderabad Job Description Big Data Engineer Spark Java Apache Iceberg We are seeking a skilled Big Data Engineer with handson experience in Apache Spark Java
About Kagool We are a fast-growing IT consultancy specializing in the transformation of complex Global enterprises. We are looking for passionate and hardworking individuals to help deliver for our global customer base. We embrace the opportunities
Job Purpose We are seeking a highly skilled Senior Data Engineer (Contractor) to design, build, and optimize scalable data platforms and pipelines. This role will play a critical part in developing modern data lakehouse architectures on
About the Role: We are looking for a senior, polyglot full-stack engineer to build and own services across a large-scale supply-chain analytics and alerting platform. You will work end-to-end — from streaming data ingestion and BigQuery
Job title: Senior Data Engineer (Airflow Specialist) Company: Hvantage Tech Solutions Pvt. Ltd. Department: Enterprise Applications / Healthcare IT Location: Remote / Hybrid / Onsite (as applicable) Employment Type: Full-Time Experience Required: 5+ Years Work Mode:
Position Objective Owns the end-to-end migration of data from legacy systems into the target platform. Responsible for designing, building and executing scalable migration pipelines while ensuring data integrity, auditability and business continuity. Key Responsibilities Own full
Job Title: Senior Data Engineer Location: Remote Experience: 8+ Years About the Role: We are looking for a Senior Data Engineer to build a modern, cloud-native data platform on AWS while transitioning critical workloads from legacy
Design, implement Azure data solutions Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS Migrate legacy SSIS packages to Azure cloud Integrate data from multiple sources using Python, SQL, Databricks,
Role Overview We are looking for a hands-on, senior Databricks Architect to design, build, and govern our Lakehouse data platform from the ground up. You will own the end-to-end architecture of our data infrastructure — from