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.

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.

Requirements

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 a solid command of 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.

This job was posted by Ananya Srivastava from Baazi Games.

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Data Engineer II