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Data Engineering Architect – ETL & Cloud

0 years

0 Lacs

India

Posted:3 weeks ago| Platform: Linkedin logo

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Skills Required

data engineering etl apache aws rest postgresql microservices architecture devops docker kubernetes jenkins gitlab maven git sonarqube airflow nosql kafka openapi design java coding integration security service database mentoring adaptability

Work Mode

On-site

Job Type

Full Time

Job Description

Primary Technical Skills

  • ETL Development
  • Apache Spark
  • AWS EMR, EKS, Serverless Architecture
  • Data Engineering, Distributed Computing
  • Data Lineage, Apache Airflow
  • REST APIs, PostgreSQL (or any RDBMS)
  • Microservices Architecture, Cloud-native Development.


Secondary Technical Skills

  • DevOps Tools

    : Docker, Kubernetes, Jenkins / GitLab CI, Maven, Git, SonarQube, Nexus

  • Cloud Platforms

    : AWS

  • Data Engineering Tools

    : Proficiency in at least one tool like

    Informatica

    ,

    DataStage

  • Other Tools/Technologies

    : Apache Airflow,

    Redis

    ,

    NoSQL (Document DB)

    ,

    Kafka / RabbitMQ

    ,

    OAUTH2

    ,

    ARGO

    ,

    Swagger

    ,

    OpenAPI Specification (OAS).


Responsibilities & Experience

  • Strong experience in

    ETL implementation

    using

    cloud technologies

    ,

    distributed computing

    , and

    big data processing

    .
  • Expertise in integrating

    Cloud-native

    design principles using

    Kubernetes

    ,

    Spark

    , and

    MicroProfile specs

    .

  • Hands-on Java technical leadership

    with a solid foundation in

    OOPs

    ,

    design patterns

    ,

    reactive programming

    , and clean architectural practices.
  • Champion of

    coding best practices

    :

    SOLID principles

    ,

    DRY

    ,

    TDD

    ,

    unit/integration testing

    ,

    exception handling

    , and

    clean code

    .
  • Built common application frameworks including

    Exception Libraries

    ,

    Security Auth (OAuth2)

    ,

    Auditing

    ,

    Idempotency

    , and

    Custom Connectors

    .
  • Implemented

    HLD

    ,

    microservices design patterns

    such as

    Resiliency

    ,

    Service Orchestration

    ,

    Database per service

    ,

    CQRS

    , etc.


Preferred Personal Qualities

  • Proactive

    and self-driven with a keen interest in new technologies.
  • Capable of building rapid

    prototypes/PoCs/MVPs

    in cloud-based data integration.
  • Strong mentoring abilities and a passion for team growth and career development.
  • Excellent

    problem-solving

    and adaptability in dynamic environments.
  • Constantly updated on

    emerging trends

    in

    cloud

    and

    data engineering

    .
  • Strong

    leadership

    and

    communication

    skills.

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