Posted 27 May, 2026
Data Engineer
NR Consulting - India
Bangalore, Karnataka, IN
Full Time
Reference: 26-03910-2220-1
Title: Data Engineer
Location: Bangalore
Exp: 5-8 yrs/9-12 Years
Job Description:
Key Responsibilities
• Design, develop, and maintain scalable data pipelines on Google Cloud Platform
• Build and optimize batch and streaming data processing frameworks using Scala
• Develop ETL/ELT workflows using GCP services such as:
o BigQuery
o Dataflow (Apache Beam)
o Pub/Sub
o Cloud Storage
o Cloud Composer (Airflow)
• Collaborate with data scientists, analysts, and business stakeholders to support analytics and ML use cases
• Ensure data quality, reliability, and performance across pipelines
• Implement best practices for cloud security, governance, and cost optimization
• Troubleshoot production issues and perform root cause analysis
• Participate in architecture discussions, code reviews, and DevOps processes
Required Skills & Qualifications
• 6+ years of experience in Data Engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Proficiency in Scala (mandatory)
• Solid experience with BigQuery and Dataflow / Apache Beam
• Strong understanding of distributed systems, data modeling, and performance tuning
• Experience building ETL/ELT pipelines for large-scale datasets
• Familiarity with SQL, NoSQL, and cloud-based data warehouses
• Knowledge of CI/CD pipelines, version control (Git), and Agile methodologies
• Strong problem-solving and communication skills
________________________________________
Good to Have (Preferred Skills)
• Experience with Apache Spark / Dataproc
• Exposure to real-time/streaming pipelines using Pub/Sub or Kafka
• Experience with Python alongside Scala
• Understanding of ML data pipelines and feature engineering
• GCP certifications (Professional Data Engineer – preferred)
Location: Bangalore
Exp: 5-8 yrs/9-12 Years
Job Description:
Key Responsibilities
• Design, develop, and maintain scalable data pipelines on Google Cloud Platform
• Build and optimize batch and streaming data processing frameworks using Scala
• Develop ETL/ELT workflows using GCP services such as:
o BigQuery
o Dataflow (Apache Beam)
o Pub/Sub
o Cloud Storage
o Cloud Composer (Airflow)
• Collaborate with data scientists, analysts, and business stakeholders to support analytics and ML use cases
• Ensure data quality, reliability, and performance across pipelines
• Implement best practices for cloud security, governance, and cost optimization
• Troubleshoot production issues and perform root cause analysis
• Participate in architecture discussions, code reviews, and DevOps processes
Required Skills & Qualifications
• 6+ years of experience in Data Engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Proficiency in Scala (mandatory)
• Solid experience with BigQuery and Dataflow / Apache Beam
• Strong understanding of distributed systems, data modeling, and performance tuning
• Experience building ETL/ELT pipelines for large-scale datasets
• Familiarity with SQL, NoSQL, and cloud-based data warehouses
• Knowledge of CI/CD pipelines, version control (Git), and Agile methodologies
• Strong problem-solving and communication skills
________________________________________
Good to Have (Preferred Skills)
• Experience with Apache Spark / Dataproc
• Exposure to real-time/streaming pipelines using Pub/Sub or Kafka
• Experience with Python alongside Scala
• Understanding of ML data pipelines and feature engineering
• GCP certifications (Professional Data Engineer – preferred)
