Data Engineer

Deqode

Bengaluru, India

4-6 Years

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Job Description

Role Overview

We are looking for a hands-on Data Engineer with strong expertise in Google Cloud Platform (GCP) and Scala to join our Data Engineering team. The ideal candidate will design, build, and optimize scalable data pipelines and platforms that enable advanced analytics and AI solutions for global clients.

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:
BigQuery
Dataflow (Apache Beam)
Pub/Sub
Cloud Storage
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

4+ 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)

(ref:hirist.tech)

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About Company

DeqodeJob Source: www.linkedin.com

Job ID: 148679789

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Last Updated: 03-06-2026 07:45:32 PM

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