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Data Engineer (Java)
Data Engineer (Java)
Quantiphi's logo

Data Engineer (Java)

Nikita Sinha's profile picture
Posted by Nikita Sinha
4 - 7 yrs
Upto ₹35L / yr (Varies
)
Bengaluru (Bangalore), Mumbai
Skills
skill iconJava
Data flow

We are looking for a skilled Java Data Engineer with strong expertise in Google Cloud Platform (GCP) technologies, specifically Dataflow, Bigtable, and Spanner. The ideal candidate will be responsible for building scalable data pipelines, distributed data processing systems, and cloud-native data solutions in a fast-paced engineering environment.


Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and backend services using Java
  • Build and optimize distributed data processing workflows using Google Cloud Dataflow
  • Work extensively with Bigtable and Spanner for large-scale data storage and processing
  • Develop ETL/ELT workflows for ingesting and transforming data from multiple sources
  • Collaborate with business stakeholders, analysts, and engineering teams to understand data requirements
  • Ensure data quality, integrity, scalability, and performance across systems
  • Integrate data from APIs, databases, and cloud platforms
  • Monitor, troubleshoot, and optimize data pipelines and batch/streaming jobs
  • Participate in architecture discussions, code reviews, and technical design sessions
  • Work closely with DevOps teams on CI/CD, deployments, and automation
  • Follow Agile/Scrum methodologies and contribute to sprint planning and execution
  • Document technical designs, workflows, and data processes

Required Skills & Qualifications

  • Bachelor’s degree in Computer Science or related field, or equivalent experience
  • 3+ years of experience in Data Engineering or Java backend/data platform development
  • Strong hands-on experience with Java, Spring Boot, and Microservices
  • Expertise in Google Cloud Platform (GCP), specifically:
  • Dataflow
  • Bigtable
  • Spanner
  • Strong understanding of distributed systems and large-scale data processing
  • Experience building batch and streaming data pipelines
  • Excellent SQL and database knowledge
  • Experience working with REST APIs, JSON, XML, and backend integrations
  • Familiarity with Apache Beam is preferred
  • Knowledge of CI/CD pipelines, Git, and deployment workflows
  • Understanding of ETL concepts, Data Warehousing, and Data Lakes
  • Good understanding of SDLC, Agile, and Scrum methodologies
  • Strong analytical, debugging, and problem-solving skills
  • Excellent verbal and written communication skills

Good to Have

  • Experience with Kafka or Google Pub/Sub
  • Exposure to Docker and Kubernetes
  • Experience with BigQuery and other GCP services
  • Exposure to AWS and/or Azure cloud platforms

Why Join Us

  • Opportunity to work on enterprise-scale cloud-native data platforms
  • Exposure to modern distributed data engineering technologies
  • Collaborative and innovation-driven engineering culture
  • Strong learning and career growth opportunities 


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Shubham Vishwakarma

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About Quantiphi

Founded :
2013
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

Read more

Tech stack

Google Cloud Platform (GCP)
skill iconNodeJS (Node.js)
skill iconPython
Artificial Intelligence (AI)
MLOps

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Bengaluru, Mumbai, and Trivandrum

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