Data Engineer
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Aug 7, 2025. Tudip Technologies scores C on the Alion truth index.
About Company
Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically as well as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. Tudip is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are a place which defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that translates an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.
Job Description
We are looking for a skilled Data Engineer with hands-on experience in Databricks to design, build, and optimize data pipelines and workflows. The ideal candidate will have a strong background in data engineering, cloud platforms, and large-scale data processing.
Please read the job criteria below and drop us an email at [email protected] OR create an account at our Recruitment Portal to get started.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks.
- Implement data integration and transformation processes from multiple data sources.
- Optimize data performance and ensure data quality and reliability.
- Collaborate with data scientists, analysts, and stakeholders to support analytical needs.
- Work with cloud platforms (preferably Azure) for data storage and management.
- Ensure data security, governance, and compliance best practices are followed.
Qualifications
- 2-5 years of experience as a Data Engineer.
- Strong expertise in Databricks (Spark, Delta Lake, SQL, and PySpark).
- Hands-on experience with data pipeline development, ETL processes, and workflow orchestration.
- Good understanding of data warehousing concepts and cloud data ecosystems (Azure preferred).
- Proficiency in SQL and Python.
- Familiarity with version control (Git) and CI/CD practices.