Found Description
Lead Data Engineer, you’ll architect and build scalable data pipelines that power fraud detection systems used by the world’s largest banks and retailers.
🛠️ Key Responsibilities
- Design and maintain robust data pipelines for ingestion, transformation, and enrichment.
- Implement automated data validation and quality assurance.
- Collaborate with data scientists on feature engineering workflows.
- Optimize performance and cost across cloud and on-prem environments.
- Lead client discussions on data architecture and integration.
- Mentor junior engineers and promote best practices.
💡 Tech Stack
, Go, Python Scala, Spark, Hadoop, Airflow, dbt, Snowflake, BigQuery, Redshift
Cloud: AWS, GCP, Azure
Tools: Prefect, Dagster, Terraform
🎓 Qualifications
- Degree in Computer Science, Software Engineering, or related field.
- Strong experience with...