Data Engineer

Tudip Technologies · Remote

Collected role description

Data Engineer at Tudip Technologies

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 joinus@tudip.com OR create an account at our Recruitment Portal to get started.

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 Py Spark).
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.

Data Engineer
Experienced Data Engineer skilled in building data pipelines, managing databases, and handling ETL processes.
Proficient in tools like SQL, Python, and cloud platforms.
Focused on ensuring data quality and supporting analytics through efficient data systems.

2-5 years