More jobs:
Data Engineer
Job in
Orlando, Orange County, Florida, 32885, USA
Listed on 2025-12-15
Listing for:
Xinova Group
Full Time
position Listed on 2025-12-15
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Direct message the job poster from Xinova Group
Type: Contract-to-Hire
Start Date: January
Company Size: ~10,000 employees
Revenue: ~$10B
About the RoleA Fortune 500 real estate organization is seeking a mid–senior level Databricks Engineer to support a major data modernization initiative. This engineer will play a key role in transforming legacy and outdated data platforms into modern, scalable cloud-based solutions. The ideal candidate is both highly technical and strong in theoretical understanding (50/50 split).
Responsibilities- Design, build, and optimize ETL/ELT pipelines using Py Spark ,
Spark SQL
, and Databricks
. - Migrate large-scale data workloads from legacy/on‑prem systems to Azure cloud data platforms.
- Develop and maintain data workflows using Azure Data Factory
. - Work with T‑SQL to manipulate, transform, and analyze data within relational database environments.
- Collaborate with cross‑functional teams to implement best practices around data engineering, governance, and architecture.
- Strong communication skills with technical and non‑technical stakeholders.
- Contribute to architectural discussions around cloud strategy, data modeling, and transformation patterns.
- Troubleshoot performance issues and optimize pipelines for scalability and cost‑efficiency.
- 5+ years of professional experience in data engineering.
- Practical Databricks experience
, including notebook development, cluster management, and job orchestration. - Advanced T‑SQL skills — ability to write complex queries, stored procedures, and optimise performance.
- Experience with Azure Data Factory (pipelines, data flows, integration runtime).
- Familiarity with Spark SQL and distributed data processing.
- Experience working with datasets similar to Adventure Works or enterprise‑scale relational environments.
- Strong understanding of modern cloud data architectures and transformation patterns.
- Experience migrating from legacy/on‑prem SQL systems to Azure cloud.
- Performance tuning in Spark and SQL.
- Familiarity with Delta Lake and Azure storage services.
Mid‑Senior level
Employment typeFull‑time
Job functionIT System Data Services
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