Baazi Games
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Delhi · Hybrid · 3-6 Yrs · Aug 19
Sports & Recreation · 201 to 500 Employees · New Delhi, India
Hiring: Engineering
What employees say
+ Agile company with flexibility of timings.
− Company tends to favour old employees.
More reviews on the company profile.
Interview experience · Software Development Engineer In Test (SDET) III
The interview process had two technical rounds. While I respect the hiring decision, the experience was disappointing. The second round felt like a rapid-fire questionnaire rather than a technical discussion. I answered
Average difficulty · New Delhi · 55 reports
More interview insightsJob description
Overview
Data Engineer II – AWS | Baazi Games
Responsibilities
- Build and scale batch and real-time data pipelines using Python and Apache Spark on AWS EMR.
- Design and maintain high-throughput streaming pipelines using Apache Kafka.
- Maintain and optimise transactional data lake storage using Apache Iceberg.
- Design, schedule, and monitor complex workflows using Apache Airflow.
- Build event-driven data automation using AWS Lambda, EventBridge, and SNS.
- Catalog and manage datasets using AWS Glue.
- Work with Amazon S3 for scalable and optimised data storage.
- Manage secure cloud infrastructure and access using AWS IAM.
- Troubleshoot and optimise data pipelines for reliability, scalability, and performance.
Qualifications
- Location: Delhi NCR | Hybrid
- Employment Type: Full-time
- About the Role
- Baazi Games is looking for a Data Engineer II – AWS Specialist with strong hands-on experience in building and scaling batch and real-time data pipelines.
- The ideal candidate should have strong expertise in Python, Apache Spark, Kafka, Airflow, Apache Iceberg, and AWS analytics services, with experience working on scalable and production-grade data systems.
- 3–5 years of professional Data Engineering experience.
- Strong programming skills in Python.
- Hands-on experience with Apache Spark / PySpark.
- Strong experience with Apache Kafka and real-time data processing.
- Hands-on experience with Apache Iceberg and modern data lake/lakehouse architecture.
- Strong knowledge of AWS data and analytics services.
- Good understanding of batch and streaming architectures.
- Strong problem-solving and debugging skills.
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