Design and implement scalable data ingestion systems across domains.
Build core data platform components: ingestion, validation, orchestration, lineage.
Build centralized data lake using Apache Iceberg.
Work across AWS, GCP, and Azure for cloud-agnostic patterns.
Contribute to the Semantic layer for BI and analytics consumption.
Provide technical leadership via mentorship and code reviews, while hands-on.

🎯 Requirements

8-10+ years in software/platform engineering for data/analytics.
Strong data ingestion patterns at scale, including CDC.
Proven experience building/operating large-scale data pipelines.
Experience with Databricks, BigQuery, or Snowflake.
Strong Python and SQL for production-quality code.
Hands-on with AWS/GCP/Azure and Presto/Trino.

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