We are looking for an experienced Senior Data Engineer to lead the development of scalable AWS-native data lake pipelines, with a strong focus on time series forecasting, upsert-ready architectures, and enterprise-grade data governance. This role demands end-to-end ownership of the data lifecyclefrom ingestion to partitioning, versioning, QA, lineage tracking, and BI delivery.
The ideal candidate will be highly proficient in AWS data services, PySpark, and versioned storage formats such as Apache Hudi or Iceberg. A strong understanding of data quality, observability, governance, and metadata management in large-scale analytical systems is critical.
Roles & Responsibilities
Preferred Candidate Profile

Keyskills: Governance Forecasting Data Lake Open Metadata Data Engineering Lineage Great Expectations Atlan Step Functions QA Frameworks Glue iceberg AWS Athena
LeewayHertz is a leading software development company delivering tailor-made digital solutions to businesses worldwide. Our team of 250+ full-stack developers, designers and innovators has designed and developed 100+ digital solutions across industry verticals. As a close-knit team of AI and web3 ex...