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Data Engineer | Scrabble & Jigsaw

full-time
Posted on June 16, 2026

Job Description

AI Data Engineer

Company Overview

Not provided.

Job Summary

The AI Data Engineer will be responsible for developing and maintaining data pipelines, ensuring optimal data flow, and collaborating with data scientists to support data-driven decision-making processes within the organization. This role contributes to the overall success of the company by enhancing data accessibility and usability for analytical and operational functions.

Responsibilities

  • Design, construct, and maintain scalable data processing systems and pipelines.
  • Collaborate with data scientists and analysts to understand data requirements and tailor data models accordingly.
  • Optimize data delivery and transformation processes to ensure data accuracy and efficiency.
  • Implement data quality checks to maintain the integrity and reliability of datasets.
  • Analyze and troubleshoot data issues to enhance data solutions across the organization.

Qualifications

  • Technical Skills:
    • Proficient in Python for data manipulation and pipeline creation.
    • Familiarity with data storage technologies (e.g., SQL, NoSQL).
    • Experience with data processing frameworks (e.g., Apache Spark, Hadoop).
    • Knowledge of data visualization tools and techniques.
  • Soft Skills:
    • Strong analytical and problem-solving skills.
    • Excellent communication and teamwork abilities.
  • Education:
    • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field is preferred.

Preferred Skills

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with machine learning algorithms and data modeling techniques.
  • Understanding of containerization technologies (e.g., Docker, Kubernetes).

Experience

  • Prior experience in data engineering or a similar role is advantageous, though specific years of experience are not defined.

Environment

  • Work setting is expected to be in Bangalore, with possibilities for flexible arrangements, although detailed location specifics are not provided.

Salary

Not provided.

Growth Opportunities

Not provided.

Benefits

Not provided.

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