Senior Data Engineer

📋 Description

• Design and own canonical data model; co-create normalized ERD with Solutions and Product, defining
• Build medallion data platform on AWS using S3, DMS, Glue, Redshift Serverless, QuickSight including
• Develop and maintain CDC pipelines and ETL jobs ingesting from Amazon RDS, applying business logic
• Migrate client schemas to standard model with row-level tenant isolation, normalizing divergent
• Enable self-serve BI for Customer Success by building Gold-layer flat marts enabling QuickSight
• Establish data governance: schema change control, data dictionary, cataloging standards via Glue

🎯 Requirements

• 5–10 years data engineering experience in product/SaaS, building production data platforms
• Prior experience in FSM, field operations, utilities, telecom, or industrial SaaS considered a plus.
• Strong data modelling fundamentals: normalized (3NF) operational schemas and dimensional/star
• Pipeline and orchestration fluency: CDC, ELT/ETL patterns, job orchestration, idempotent pipelines
• Strong programming in Python, Go, or Java with production pipeline experience.
• Deep AWS data stack expertise: S3, Glue (ETL + Data Catalog), DMS, Redshift (or Serverless)