Data Engineer
$120kFreudenberg Group
Working at Freudenberg: We will wow your world! Responsibilities:
- Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake.
- Ingest and unify data from enterprise systems, APIs, databases, cloud storage, and file-based sources.
- Deliver trusted, analytics-ready data products including curated datasets and feature-ready tables.
- Productionize Databricks solutions (workflows, Unity Catalog, Delta tables, SQL Warehouses) with strong reliability.
- Implement automated data quality, validation, and secure access patterns across pipelines.
- Optimize performance and cost while modernizing legacy data flows into cloud-native architectures.
- Partner with business, IT, and data teams to deliver high-impact, data-driven solutions.
- Degree in Computer Science, Data Engineering, or related field (or equivalent experience).
- Proven experience building and running production data pipelines and data products.
- Strong Python, PySpark, Spark SQL, and SQL skills.
- Hands-on experience with Databricks (Delta Lake, Unity Catalog, Jobs/workflows, SQL Warehouses).
- Familiarity with cloud data platforms (Azure preferred; ADLS, Blob, Key Vault, RBAC or similar).
- Experience with data testing, validation, and quality frameworks.
- Strong collaboration and communication skills with a practical, solution-oriented mindset.
Vacancy posted 4 days ago
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