Posted:6 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Job Title: Data Engineer – AWS Cloud & AI/ML

Location:

Experience:


About the Role

Data Engineer


Key Responsibilities

  • Design, build, and maintain scalable

    data pipelines

    and

    ETL/ELT frameworks

    .
  • Manage data migration and integration using

    AWS DMS, SCT

    , and other tools.
  • Work extensively with

    AWS data services

    such as

    S3, Glue, DMS, Redshift, RDS, Aurora

    .
  • Develop and optimize data models for analytics and reporting.
  • Implement

    AI/ML models

    for predictive insights and automation.
  • Collaborate with cross-functional teams for data strategy, architecture, and governance.
  • Use

    Power BI, SSIS, SSRS, Athena, QuickSight

    , and similar BI tools for visualization and reporting.
  • Ensure data security, quality, and compliance across systems.


Required Qualifications & Skills

  • Bachelor’s or Master’s degree in

    Computer Science, Information Technology, or related field

    .
  • 5–8 years of experience in

    Data Engineering, Data Analytics, or Data Warehousing

    .
  • Minimum

    2+ years of hands-on experience

    with

    AWS Cloud Data Services

    .
  • Strong programming skills in

    SQL, Python, PowerShell, and PySpark

    .
  • Proficiency in

    ETL processes

    ,

    data transformation

    , and

    data orchestration tools

    .
  • Experience in

    AI/ML implementation

    (minimum 1 year).
  • AWS Associate or Specialty Certification (minimum two)

    – mandatory.
  • Excellent

    problem-solving

    ,

    analytical

    , and

    communication

    skills.


Preferred Qualifications

  • Experience with

    AI/ML, DataOps

    , and

    automation frameworks

    .
  • Familiarity with

    MySQL, PostgreSQL

    , and other open-source databases.
  • Domain exposure in

    Manufacturing, Aerospace, or Airline

    sectors.
  • Knowledge of

    ITIL methodologies

    ,

    networking fundamentals

    , and

    basic IT infrastructure

    .

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