Data Engineer
7 days ago
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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