Job Description

Backend & Data Engineer

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Role Overview: 8–12 Years

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Location: Noida/ Mumbai/ Pune/ Bangalore/ Kochi

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We are seeking an experienced engineer to architect, modernize, and own our end-to-end batch data infrastructure, ETL workflows, and backend services.

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Key Responsibilities

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Design, migrate, and operate highly scalable batch data pipelines and ETL workflows.
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Develop high-volume data transformation solutions using Java, Python, and Apache Spark.
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Build and integrate robust REST APIs to connect data systems with backend services.
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Monitor, troubleshoot, and performance-tune production pipelines for maximum reliability.
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Drive CI/CD automation, version control, and engineering best practices across the team.
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Required Qualifications

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8–12 years of hands-on experience in backend and data engineering.
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Deep expertise in Java, Python, and distributed processing via Apache Spark.
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Proven track record building and migrating large-scale data integrations and REST APIs.
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Robust proficiency in contemporary DevOps practices, Git, and CI/CD pipelines.
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Exceptional debugging and root-cause analysis skills.
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Preferred Skills

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Cloud data platforms (AWS, Azure, or GCP) and up-to-date data lake architectures.
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Workflow orchestration tools (e.g., Apache Airflow).
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Containerization and orchestration (Docker, Kubernetes).
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📌 Data Engineer Noida
🏢 Tenarai
📍 Noida