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 usingIceberg or Hudi . Develop ETL/ELT workflows on AWS usingGlue, EMR, Lambda, Redshift , and other platform services. Write clean, modular, reusable code usingPySpark, Python, and SQL . Manage and enhance orchestration workflows withAirflowto ensure reliability and scalability. Collaborate with analytics, product, and engineering teams to maintain unified and consistent data models. Participate inperformance tuning, cost optimization , and improvement of AWS data infrastructure. Implement and follow best practices indata quality, cataloging, and metadata management . Contribute to code reviews and engineering discussions to maintain high technical standards. Required Skills & Experience 2–4 yearsof experience in data engineering with strong exposure to large-scale data systems. 2+ years of hands-on experience in PySpark . Solid understanding of theAWS data ecosystem : Glue, EMR, S3, Lambda, Redshift, CloudWatch. Practical experience working withApache Iceberg or Hudi(Iceberg preferred). Strong programming skills inPython, PySpark , and solid command overSQL . Experience working withAirflowfor scheduling and orchestration. Understanding of distributed systems, data modeling, and data governance principles. Exposure tocontainerized environments (Kubernetes, Docker)is a plus. Ability to work closely with business and technical teams to deliver scalable solutions.
Job Title
Data Engineer