Req ID: 392804

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Tech Consultant - Big Data Engineer to join our team in Pune, Mahārāshtra (IN-MH), India (IN).
Key Responsibilities:

• Design, develop, and maintain high-performance, fault-tolerant data pipelines using modern big data technologies.

• Implement data processing solutions to extract, transform, and load (ETL) data from various sources into our data platforms.

• Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions that meet business needs.

• Optimize data processing jobs for performance and cost efficiency.

• Ensure data quality, integrity, and security across all data assets.

• Participate in code reviews, contribute to technical discussions, and mentor junior team members.

• Stay current with emerging technologies and best practices in the big data ecosystem.





Required Skills and Experience:

• Strong proficiency in Java and/or Scala for big data application development.

• Extensive experience with Apache Spark for large-scale data processing.

• Demonstrable knowledge and hands-on experience with Google Cloud Platform (GCP) services, specifically:

• Airflow for workflow orchestration.

• Dataproc for managed Spark/Hadoop clusters.

• BigQuery for data warehousing and analytics.

• Solid understanding of data warehousing concepts, ETL/ELT principles, and data modeling.

• Robust problem-solving skills and the ability to troubleshoot complex data issues.

• Experience on Angular/React/Node JS frameworks.

• Proficiency in Python for data manipulation, scripting, or data science-related tasks.

• Experience with relational databases, particularly Oracle.

• Competency in Unix/Linux scripting for automation and system administration tasks.

• Knowledge of CI/

📌 Tech Consultant (Pune)
🏢 NTT DATA Services
📍 Pune