Senior Database Developer
Core
Design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform for analytics, marketing, and CRM use cases.
Role type
Senior Databricks Developer (Data Engineering)
Builds
Batch and streaming data pipelines, governed data products, and reusable engineering frameworks.
Domain
Marketing technology, Customer Relationship Management (CRM), and Data Engineering.
Required skills
Databricks Lakehouse Platform, Apache Spark, PySpark, Python, SQL, Delta Lake, Unity Catalog, CI/CD, Git, Cloud Object Storage (Azure/AWS), Data Modeling, ETL/ELT, Performance Tuning.
Preferred skills
Databricks Data Engineer Associate or Professional certification, experience in automotive or CRM domains.
Technologies
Databricks, Apache Spark, Delta Lake, Unity Catalog, Azure DevOps, GitHub Actions, Azure Data Lake Storage, Amazon S3.
Responsibilities
Develop reliable batch and streaming pipelines; transform large datasets; optimize Spark workloads; implement data quality and validation controls; automate deployments; support production pipelines.
Seniority
Senior, hands-on IC