Bachelor's degree in computer science, Information Systems, or a related field. Master's degree is a
plus.
- A seasoned Data Engineer with a minimum of 5-8 years of experience.
- Deep experience in designing and building robust, scalable data pipelines – both batch and real-time
using modern data engineering tools and frameworks.
- Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis etc.).
- Strong grip on SQL queries, various file formats like Apache Parquet, Delta Lake, Apache Iceberg or
Hudi and CDC patterns.
- Experience in stream processing frameworks like Apache Flink or Kafka Streams or any other
distributed data processing frameworks like pySpark.
- Expertise in workflow orchestration using Apache Airflow.
- Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced
environment.
- In-depth knowledge of database systems (both relational and NoSQL) and experience with data
warehousing concepts.
- Hands-on experience with data integration tools and a strong familiarity with cloud-based data
warehousing and processing is highly desirable.
- Excellent communication and interpersonal skills, facilitating effective collaboration with both
technical and non-technical stakeholders.
- A strong desire to stay current with emerging technologies and industry best practices in data
Skills: aws,apache,airflow
