Data Engineer

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. Youll 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

• 24 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.