Data Engineer

Tudip Technologies · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 12:37 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: data-engineer

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 2-5 years.

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Retained employer experience wording: 2-5 yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

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Collected role description

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. 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 joinus@tudip.com 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 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.

Collected experience requirement

2-5 years