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Senior Data Engineer

9 - 14 years

7 - 12 Lacs

bengaluru

Posted:3 days ago| Platform: Naukri logo

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Skills Required

data engineer s3 java api gateway hibernate architecture hadoop bi tools tableau microservices sql jenkins iam ec2 microservices architecture snowflake spring framework data warehousing aws etl oracle gitlab lambda python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Purpose and Impact
We are seeking a highly experienced Senior Engineer with strong expertise across

API engineering, platform development, and data engineering

. The ideal candidate will design, build, and optimize scalable services, data pipelines, and digital platforms that power enterprise applications. This role requires deep technical proficiency, strong architectural thinking, and the ability to collaborate with cross-functional teams to deliver high-quality, reliable, and secure solutions.

Key Accountabilities

Core Responsibilities

API & Platform Engineering

  • Design and develop

    high-performance, secure, and scalable APIs

    using Java, Spring, and Hibernate.
  • Build and maintain

    microservices-based architectures

    ensuring robustness, modularity, and efficiency.
  • Engineer and support digital platform components, infrastructure, and foundational services.
  • Implement and optimize

    CI/CD pipelines

    , automated deployments, and cloud-native release processes.
  • Integrate with API Gateways and manage

    API lifecycle management

    , versioning, logging, and monitoring.
  • Troubleshoot production issues, ensure service reliability, and provide ongoing technical support.
  • Write unit, integration, and performance tests; participate in peer code reviews to ensure code quality.
  • Maintain comprehensive

    technical documentation

    , architectural diagrams, and configuration details.

Data Engineering

  • Design, automate, and optimize

    scalable data pipelines

    for batch and real-time ingestion, transformation, and aggregation.
  • Develop and maintain

    ETL/ELT workflows

    using AWS Glue, Python, SQL, and other cloud-native tools.
  • Support migration and integration across multiple data platforms like

    Hadoop, Snowflake, AWS, and Oracle

    .
  • Implement data modeling, data warehousing, and performance optimization strategies.
  • Monitor, troubleshoot, and resolve issues across data workflows ensuring reliability and data integrity.
  • Contribute to engineering best practices, code reviews, and CI/CD enhancements for data processes.
  • Partner with analysts, data scientists, and business stakeholders to understand requirements and deliver scalable solutions.

Qualifications
    • Bachelors degree in Computer Science, Engineering, or a related technical field with minimum 9 years of work experience.
    • Strong expertise in

      Java, Spring Framework, Hibernate

    • Hands-on experience with

      Python

      and scalable data processing
    • Proficiency with

      AWS services

      , API Gateway, Lambda, EC2, S3, IAM
    • Experience in

      CI/CD

      (GitLab, Jenkins, CodePipeline, or similar)
    • Cloud-native logging & monitoring tools (e.g.,

      Datadog

      )
    • SQL and advanced data transformation skills
    • Experience with

      Snowflake, Hadoop ecosystem, AWS Glue

    • Strong understanding of

      data modeling

      , warehousing, and performance tuning
    • Familiarity with Oracle and BI tools such as Tableau

    Architecture & Integration

    • Microservices architecture and API lifecycle management
    • Real-time and batch data pipeline integration
    • Strong understanding of distributed systems and scalable design

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