Data Engineer -Databricks

About Durapid Technologies

Durapid Technologies is a fast-growing technology company specializing in Data Engineering, AI Solutions, Cloud Technologies, and Enterprise Software Development. We help organizations build scalable, data-driven platforms that enable better business decisions and operational excellence.

Role Overview

We are seeking an experienced Databricks Engineer with strong expertise in Databricks, Streaming Technologies, and SQL to design and deliver scalable data solutions. The ideal candidate should have hands-on experience building modern data pipelines, processing large-scale datasets, and optimizing data platforms for performance and reliability.

Databricks Certification is mandatory for this role.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.


• Build and optimize batch and real-time data processing solutions.


• Develop streaming data applications and data ingestion frameworks.


• Write and optimize complex SQL queries, transformations, and data models.


• Work with large-scale structured and unstructured datasets.


• Ensure high data quality, reliability, governance, and performance.


• Collaborate with Data Engineers, Architects, Business Analysts, and stakeholders.


• Troubleshoot performance bottlenecks and optimize workloads.


• Implement best practices for data engineering, monitoring, and scalability.


• Participate in architecture discussions and technical solution design.

Required Skills & Qualifications

• 6+ years of overall IT experience.


• Hands-on experience with Databricks in production environments.


• Databricks Certification (Mandatory).


• Strong expertise in Streaming Technologies.


• Advanced SQL programming and query optimization skills.


• Experience building ETL/ELT pipelines and data transformation workflows.


• Strong understanding of Data Warehousing and Data Lake concepts.


• Experience handling large-scale datasets and performance tuning.


• Excellent communication and stakeholder management skills.


• Willingness to work from the Jaipur office.

Preferred Skills

• Experience with Apache Spark and PySpark.


• Exposure to Azure Data Engineering ecosystem.


• Knowledge of Delta Lake and Lakehouse architecture.


• Experience with CI/CD and DevOps practices for data platforms.


• Understanding of cloud platforms such as Azure, AWS, or GCP.