Data Engineer-Hive/Impala/Kudo

Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience

Your Role And Responsibilities

Location: Mumbai

Role Overview

As a Big Data Engineer, you'll design and build robust data pipelines on Cloudera using Spark (Scala/PySpark) for ingestion, transformation, and processing of high-volume data from banking systems.

Key Responsibilities

• Build scalable batch and real-time ETL pipelines using Spark and Hive
• Integrate structured and unstructured data sources
• Perform performance tuning and code optimization
• Support orchestration and job scheduling (NiFi, Airflow)
  
  

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Experience: 3–15 years
• Proficiency in PySpark/Scala with Hive/Impala
• Experience with data partitioning, bucketing, and optimization
• Familiarity with Kafka, Iceberg, NiFi is a must
• Knowledge of banking or financial datasets is a plus