Senior Databricks Data Engineer

About Straive:

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Website:https://www.straive.com/

Description – Senior Databricks Data Engineer

Job Title: Senior Data Engineer – Databricks





Experience: 5+ years

Location: Hyderabad / India

Employment Type: Full-time

Role Overview

We are looking for a strong Databricks Data Engineer who can work across the complete data engineering lifecycle, including data ingestion, transformation, data quality, and semantic/data-product layers.

The candidate will work closely with AI and data teams and should be comfortable leveraging contemporary Databricks and AI capabilities to build scalable and reliable enterprise data solutions.

Key Responsibilities

- Design, develop and maintain scalable data pipelines using Databricks.
- Work on data ingestion, transformation, processing and data quality frameworks.
- Develop solutions using PySpark, Python and SQL.
- Work with Databricks Unity Catalog for data governance, security and access management.
- Build and maintain enterprise-grade data products and semantic data layers.
- Collaborate with AI/ML teams to support data requirements for AI and analytics solutions.
- Contribute to enterprise data architecture and solution design.
- Ensure data pipelines are scalable, reliable, secure and optimized for performance.
- Participate in technical discussions with business, data and architecture teams.
- Provide consulting and solution architecture expertise when required

📌 Senior Databricks Data Engineer (Chennai)
🏢 Straive Website
📍 Chennai