Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Data Engineer

3–5 Years Experience

Location:

RedPluto Analytics is seeking an experienced Data Engineer who is passionate about designing, developing, and optimizing scalable data pipelines. The ideal candidate will have strong hands-on expertise in modern data engineering tools, frameworks, and cloud platforms.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using PySpark and Big Data technologies.
  • Develop, schedule, and manage workflows using

    Apache Airflow

    .
  • Work on data ingestion, transformation, and storage using Data Lakes and Data Warehouses.
  • Optimize PySpark jobs for improved performance and cost efficiency.
  • Implement real-time and batch data processing solutions.
  • Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
  • Ensure data quality, reliability, security, and governance across the ecosystem.

Must-Have Skills

  • 3–5 years of hands-on experience

    in Data Engineering.
  • Strong proficiency in

    SQL

    .
  • Solid working experience with

    PySpark

    and its optimization techniques.
  • Strong understanding of

    Big Data concepts

    and distributed data processing.
  • Hands-on real-time experience with

    Apache Airflow

    .
  • Knowledge of

    Data Lakes

    and

    Data Warehouses

    architectures.

Good-to-Have Skills

Experience working with any of the following:

  • Cloud Platforms:

    AWS / Azure / GCP
  • Databricks

  • Kafka

    (for streaming/real-time processing)
  • Relevant

    certifications

    in data engineering or cloud technologies.


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