About The Company

TalentBridge is a leading organization committed to delivering innovative talent solutions and data-driven insights to empower businesses worldwide. With a focus on leveraging cutting-edge technologies and fostering a collaborative environment, TalentBridge strives to connect top talent with transformative opportunities across various industries. Our dedication to excellence and continuous improvement has established us as a trusted partner in the talent acquisition and data management landscape. We prioritize diversity, inclusion, and professional development, ensuring our team members thrive in a dynamic and supportive workplace.

About The Role

As a Data Engineer at TalentBridge, you will play a pivotal role in designing, building, and maintaining scalable data systems that support analytics, business intelligence, and operational needs. You will work at the intersection of engineering and business impact, transforming raw data into reliable, quick, and meaningful insights.



This position offers an exciting opportunity to be involved in end-to-end data architecture, from requirements gathering to deployment, ensuring the integrity and efficiency of our data solutions. The role requires a proactive mindset, strong technical skills, and the ability to collaborate effectively with cross-functional teams to deliver high-quality data products.

Qualifications

To succeed in this role, candidates should possess a robust foundation in data engineering, with expertise in cloud-based platforms and big data technologies. Proficiency in Python and SQL is essential, along with hands-on experience with Apache Spark or PySpark for large-scale data processing. Familiarity with building and managing data pipelines using Azure Data Factory, Fabric Data Flows, and Notebooks is required. Candidates should also have experience working with Microsoft Azure services, particularly Microsoft Fabric, Azure SQL Database, and Azure Delta Lake. A solid understanding of dat

📌 Data Engineer (India)
🏢 FetchJobs.co
📍 India