Key skills
AirflowAWSETLKafkaPythonSparkSQLELTLambdaS3GlueAthenaKinesis
About this role
Role Overview
- Build and maintain data ingestion pipelines (batch + streaming)
- Design ETL/ELT workflows for transcripts and metadata
- Implement data normalization, tagging, and enrichment pipelines
- Manage storage layers (S3, data lakes, vector stores)
- Enable secure, API-based access to customer data (VPC-based)
- Ensure data quality, reliability, and observability
Requirements
- 3–8 years of experience
- Strong experience with Python / SQL
- Experience with data pipeline tools (Airflow, Spark, Kafka, etc.)
- Hands-on AWS experience (S3, Glue, Lambda, Kinesis, Athena)
- Understanding of data modeling and schema design
- Experience with APIs and data integration
Tech Stack
- Airflow
- AWS
- ETL
- Kafka
- Python
- Spark
- SQL
Benefits
- Competitive industry salaries
- Comprehensive benefits packages
- Internal mobility and professional growth opportunities