About the role
Roles and Responsibilities :
- Design, develop, test, deploy and maintain large-scale data pipelines using Airflow to extract insights from various sources.
- Collaborate with cross-functional teams to identify business requirements and design scalable data warehousing solutions on AWS cloud platform.
- Develop complex SQL queries to optimize database performance and troubleshoot issues in Amazon Redshift.
- Implement real-time event-driven architecture using Kafka, MQTT protocols for high-volume data processing.
Job Requirements :
- 4-6 years of experience in Data Engineering with expertise in Airflow, Data Warehousing, Spark.
- Strong proficiency in Python programming language along with experience working with SQL databases (e.g., PostgreSQL).
- Experience building scalable big-data architectures on AWS cloud platform including S3 buckets, Lambda functions & Glue jobs.
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