Senior Data Engineer

Responsibilities:

• Design and implement cloud-based data platforms, pipelines, and data hubs for client engagements.
• Support modernization and migration of legacy data systems to cloud-native architectures.
• Build and maintain high-quality, scalable data pipelines with strong observability and reliability.

Required:

• 10+ years of experience in data engineering, data platforms, BI engineering, and/or data architecture
• Proven experience with end-to-end data management, including data governance, cataloguing, observability, and quality.
• Advanced SQL expertise (query optimization, performance tuning, complex transformations).

Nice to Have:

• Experience with AWS, Azure, or GCP (multi-cloud exposure a plus)
• Experience with tools such as FiveTran, Snowflake, dbt, Google Analytics, Tableau
• Python experience building data pipelines, automation scripts, and AI/ML workflows, including integration with cloud services and data platforms.