Oracle
Senior Consultant - Databricks
Job Description
Senior Data Engineer – Databricks (Azure/AWS)
Role Overview:
We are looking for a hands-on Senior Data Engineer experienced in migrating and building large-scale data pipelines on Databricks using Azure or AWS platforms. The role will focus on implementing batch and streaming pipelines, applying the bronze-silver-gold data lakehouse model, and ensuring scalable and reliable data solutions.
Required Skills and Experience:
- 6+ years of hands-on data engineering experience, with 2+ years specifically working on Databricks in Azure or AWS.
- Proficiency in building and optimizing Spark pipelines (batch and streaming).
- Strong experience implementing bronze/silver/gold data models.
- Working knowledge of cloud storage systems (ADLS, S3) and compute services.
- Experience migrating data from RDBMS (Oracle, SQL Server) or Hadoop ecosystems.
- Familiarity with Airflow, Azure Data Factory, or AWS Glue for orchestration.
- Good scripting skills (Python, Scala, SQL) and version control (Git).
Preferred Qualifications:
- Databricks Certified Data Engineer Associate or Professional.
- Experience with Delta Live Tables (DLT) and Databricks SQL.
- Understanding of cloud security best practices (IAM roles, encryption, ACLs).
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