Role & responsibilities

Design develop and maintain enterprise scale data ingestion and processing pipelines

Develop batch and streaming solutions using Hadoop Spark Kafka and NiFi

Build scalable ETLELT frameworks to process structured semi structured and unstructured data

Design and implement real time data streaming solutions using Kafka and Spark Streaming

Develop data integration workflows using Apache NiFi

Optimize data processing jobs for performance scalability and reliability

Collaborate with Data Architects and Data Modelers to implement data models and platform architecture

Implement data quality reconciliation monitoring and governance frameworks

Troubleshoot production issues and perform root cause analysis

Ensure adherence to security compliance and data governance standards





Participate in code reviews architectural discussions and technical design activities

Preferred candidate profile

We are seeking an experienced Data Engineer to join our team in Denmark and contribute to the design development and optimization of largescale data platforms The ideal candidate should have solid expertise in Big Data technologies real time data processing distributed computing and modern data engineering practices The role requires working closely with business stakeholders solution architects data scientists and engineering teams to build scalable and high performance data solutions

📌 Big Data Hadoop (Bengaluru)
🏢 Intellics Global Services
📍 Bengaluru