Senior Data Engineer — Scalable Data Lakehouse & Pipelines
Vericast
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Benefits offered by this job
Job summary
Vericast is seeking a Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow into our Data Lake environment.
The Senior Data Engineer will work closely with analytics, reporting, and data science teams on data initiatives, ensuring a consistent, optimal data delivery architecture across ongoing
Qualifications
- 5+ years in Data Engineering or related field.
- Experience with FI/Banking or marketing data ecosystems ideal.
- Proficient in Python and PySpark for production pipelines.
- Experience with Data Lakehouse architectures and data pipelines.
Responsibilities
- Develop scalable data pipelines and integrations for growth in data volume.
- Build a Data Lakehouse to support marketing solutions and clients.
- Collaborate with AI/Analytics teams to improve data models for AI tools.
- Monitor data quality and ensure production data availability.
- Troubleshoot data-related issues and provide post-deployment support.
- Partner with teams to shape long-term data platform architecture.
Skills
Education
Tools
Job description
Vericast is seeking a Senior Data Engineer to build big data pipelines, automate marketing campaigns, and support data requirements for our analytics, reporting, and AI applications. This role will expand our data infrastructure and pipeline architecture while optimizing data flow into our Data Lake environment.
The Senior Data Engineer will work closely with analytics, reporting, and data science teams on data initiatives, ensuring a consistent, optimal data delivery architecture across ongoing
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