Job Summary
A company is looking for a Senior or Lead Data Engineer to be the founding member of their new data team.
Key Responsibilities
- Design, build, and optimize scalable data pipelines using Apache Spark, Kafka, and related tools
- Architect and manage infrastructure in AWS, including services like S3, Kinesis, and Redshift
- Establish standardized data ingestion, transformation, and storage processes across multiple product lines
Required Qualifications
- 5+ years of experience in data engineering, ideally in SaaS or multi-product environments
- Expertise in AWS services relevant to data infrastructure (S3, Glue, Redshift, etc.)
- Strong proficiency in Python for building pipelines and infrastructure automation
- Deep hands-on experience with Apache Spark and Kafka
- Solid experience with Airflow or equivalent orchestration tools
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