Java/Python/JavaScript Developer (Mid-level)

3 years

0 Lacs

Posted:14 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Locations: Bengaluru, Chennai, Kochi, Pune, Thiruvananthapuram (Full-Time)

Work Type: Permanent

Experience Required: 2 – 3 Years (0–3 yrs relevant cloud/data exp per JD)

Compensation: INR 14,00,000 – 16,00,000 CTC

Job Overview

Client is hiring a Developer II – Software Engineering (Junior Dev Cloud Engineer) to design, develop, and deploy scalable data processing and orchestration solutions on Google Cloud Platform. The role is hands‑on with Java 17+, Apache Beam on Cloud Dataflow, Airflow/Cloud Composer, and GCP Big Data services, working closely with data and cloud teams to deliver robust data pipelines.

Key Responsibilities

  • Design, develop, test, and deploy scalable data processing pipelines using Java 17+ and Apache Beam running on GCP Cloud Dataflow.
  • Build and manage orchestration workflows using Apache Airflow or GCP Cloud Composer, including DAG creation with common and custom operators.
  • Use GCP Big Data services (BigQuery, BigTable, Cloud SQL, GCS) for data ingestion, transformation, storage, and optimization.
  • Write, optimize, and review complex SQL queries, especially in BigQuery and Cloud SQL.
  • Maintain high standards for code quality, testing, documentation, and best practices.
  • Collaborate with Data Engineers, Cloud Architects, and Developers to deliver scalable cloud solutions.

Must‑Have Qualifications & Skills

  • Strong knowledge of Google Cloud Platform.
  • Java 17+ development experience.
  • Hands‑on experience with Apache Beam programming on Cloud Dataflow.
  • Experience with Airflow or Cloud Composer for creating and managing DAGs.
  • Proficiency with GCP Big Data services: BigQuery, BigTable, GCS, Cloud SQL.
  • Strong SQL skills.
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 0–3 years relevant experience in cloud or data engineering roles.

Good‑to‑Have Skills

  • Experience with GKE (Google Kubernetes Engine).
  • Understanding of IAM on GCP.
  • Exposure to Cloud Spanner.
  • Experience building secure API endpoints.
  • Knowledge of containerization and microservices.

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