Senior Data Engineer - Databricks
First seen by Alion on Oct 29, 2026.
Role : Senior Data Engineer (Databricks)
Company : CODVO. AI
Experience : 8+ Years
About CODVO. AI :
At CODVO. AI, we build scalable, future-ready digital platforms that drive real business impact through innovation, collaboration, and engineering excellence.
Role Overview :
We are looking for a Senior Data Engineer (Databricks) with strong expertise in Databricks, Python, and AWS to design and build scalable data platforms.
The role involves developing high-performance data pipelines, optimizing ETL/ELT workflows, implementing data governance frameworks, and enabling data-driven decision-making.
Key Responsibilities :
- Build and maintain scalable data pipelines using Databricks and Python.
- Design, develop, and optimize ETL/ELT workflows for large-scale data processing.
- Implement and manage Databricks Lakehouse Architecture.
- Configure, manage, and govern data assets using Unity Catalog.
- Integrate AWS services, including S3, IAM, VPC, Glue, and Lambda, into data engineering workflows.
- Develop dashboards and reporting solutions to support business requirements.
- Ensure data quality, performance, reliability, and scalability across data platforms.
- Collaborate with cross-functional teams to deliver business-focused data solutions.
Required Skills :
- 8+ years of relevant professional experience.
- Strong hands-on experience with Databricks.
- Expertise in Python and data engineering best practices.
- Experience with Unity Catalog and data governance.
- Good knowledge of AWS services, including S3, IAM, VPC, Glue, and Lambda.
- Understanding of data lake and lakehouse architectures.
- Experience building dashboards and reporting solutions
Skills
Data Engineering, Databricks, Python, AWS, Data Pipeline, ETL, DataLake, Data Governance, Data Catalogue, Dashboard Tools, Reporting Tools