Data Engineer

7 days ago


New Delhi Delhi India, Delhi Baazi Games Full time

About the Role

As a Data Engineer II at Baazi, you will contribute to building and optimizing scalable data pipelines and lakehouse systems that power analytics and product insights across the organization. You’ll work hands-on across our AWS-based ecosystem, develop robust data workflows, and ensure high standards of data quality, performance, and reliability.

Key Responsibilities

  • Build and optimize scalable data pipelines and lakehouse components using Iceberg or Hudi.
  • Develop ETL/ELT workflows on AWS using Glue, EMR, Lambda, Redshift, and other platform services.
  • Write clean, modular, reusable code using PySpark, Python, and SQL.
  • Manage and enhance orchestration workflows with Airflow to ensure reliability and scalability.
  • Collaborate with analytics, product, and engineering teams to maintain unified and consistent data models.
  • Participate in performance tuning, cost optimization, and improvement of AWS data infrastructure.
  • Implement and follow best practices in data quality, cataloging, and metadata management.
  • Contribute to code reviews and engineering discussions to maintain high technical standards.

Required Skills & Experience

  • 2–4 years of experience in data engineering with strong exposure to large-scale data systems.
  • 2+ years of hands-on experience in PySpark.
  • Solid understanding of the AWS data ecosystem: Glue, EMR, S3, Lambda, Redshift, CloudWatch.
  • Practical experience working with Apache Iceberg or Hudi (Iceberg preferred).
  • Strong programming skills in Python, PySpark, and solid command over SQL.
  • Experience working with Airflow for scheduling and orchestration.
  • Understanding of distributed systems, data modeling, and data governance principles.
  • Exposure to containerized environments (Kubernetes, Docker) is a plus.
  • Ability to work closely with business and technical teams to deliver scalable solutions.



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