À propos
Build and maintain scalable ingestion pipelines using dbt, Databricks, and Fivetran
Optimize queries, data partitioning strategies, and schema design for performance and cost
Partner with BI and ML teams to support analytics and advanced data use cases
Identify opportunities to improve data infrastructure and implement best-practice solutions
Troubleshoot data issues and provide technical guidance and support
Contribute to ongoing improvements in reliability, scalability, and data quality
What You’ll Need: 5+ years of experience in data engineering with strong Python, SQL, and Spark skills
Hands-on experience building and automating ETL/ELT pipelines and working with data warehouses
Solid understanding of data modeling, schema design, and performance optimization
Experience with cloud-based data platforms such as Databricks and modern storage solutions (e.g., Delta Lake)
Familiarity with CI/CD, data versioning, and best practices for scalable data infrastructure
Knowledge of data governance, data quality, and lineage concepts
Understanding of cloud cost optimization, security, and access control best practices
Benefits Medical, Dental, and Vision coverage Vacation Days Sick Days 401(k) Discount Programs Life Insurance Disability Insurance Employee Assistance Program Flexible Spending Account
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Compétences linguistiques
- English
Avis aux utilisateurs
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