Senior Data Engineer with AWS
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Role details
Tech stack
Requirements
Strong hands-on experience with AWS (Lambda, Step Functions), Snowflake, Databricks, and DBT, building and orchestrating production data pipelines including serverless ingestion and medallion architecture. Engineer with strong data background and specific hands-on experience in Databricks, building and orchestrating production data pipelines including serverless ingestion and medallion architecture. Skilled in sourcing data from across LOB systems and conforming it to enterprise standards and governed definitions. Experience with API-based ingestion, native connector integrations, and data warehouse design. Able to partner with the business to elevate operations to the next level by translating requirements into scalable data solutions. Experience with knowledge graphs, ontology modeling, and semantic layer design to establish governed, shared definitions across the enterprise. System design guidance, code reviews, mentoring engineers, and partnering with product owners to translate business requirements into technical requirements.
Benefits & conditions
- $120,000-160,000 per year
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