Job 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...

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