Data Engineer - Azure Databricks

Description :

Role : Data Engineer - Databricks

Location : Gloify.com / Bangalore / Remote

- Full-time

Experience : 3+ Years

Are you passionate about building reliable, high-performing data systems? Were looking for skilled Data Engineers who love solving complex data challenges and enabling smarter decision-making through clean, scalable pipelines.

About Gloify.com : Gloify is a leading product development and software engineering company helping startups and enterprises build scalable, high-performance digital solutions.

We specialize in end-to-end technology services - from product design and development to data engineering and cloud solutions.

With a focus on innovation and quality, Gloify empowers businesses to accelerate growth through technology.

What Youll Do :

- Build and maintain robust data pipelines and ETL processes using Azure Databricks (or AWS Databricks).

- Integrate data from multiple sources into Azure data platforms like Data Lake, Synapse, or Azure SQL.

- Partner with data scientists and analysts to deliver structured, reliable, and ready-to-use datasets.

- Ensure high standards for data quality, security, and governance.

- Optimize data flows for performance and scalability.

- Monitor pipelines to minimize downtime and quickly troubleshoot issues.

- Contribute to designing data models and architectures to support analytics and BI initiatives.

What You Bring :

- 3+ years of hands-on experience as a Data Engineer or in a similar role.

- Strong expertise in Azure Databricks (or AWS Databricks).

- Experience with Azure Database services and storage solutions.

- Solid skills in SQL, Python, and data transformation frameworks.

- Strong understanding of ETL/ELT, data modeling, and data warehousing concepts.

- Familiarity with Git and CI/CD workflows.

- A problem-solver mindset and ability to work closely with cross-functional teams.

Bonus Points :

- Azure or Databricks certifications.

- Exposure to big data technologies and distributed computing.

- Experience with Azure Data Factory, Airflow, or other orchestration tools.

- Familiarity with MLOps or advanced analytics platforms.

- If you love building data systems that make an impact, wed love to meet you.