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