Data Engineer

Snetaj It Solutions; Dadri; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Snetaj It Solutions in India is seeking a Data Engineer to design, develop and maintain data systems that support BI and data-driven decision making. You will work with technical teams to ensure data is reliable, accessible, secure and efficiently managed.

The role involves building scalable data pipelines, integrating data from multiple sources, and collaborating with data scientists, analysts and software engineers to optimise performance and data governance. Remote work is not specified.

Qualifications

• Bachelor's or Master's degree in CS/IT/Engineering or related field.
• Strong SQL and Python skills for data pipelines.
• Understanding of databases and data warehousing.
• Familiarity with AWS, Azure or Google Cloud is desirable.
• Analytical and problem-solving abilities; good communication.

Responsibilities

• Design, develop and maintain scalable data pipelines.
• Collect, transform and integrate data from multiple sources.
• Develop and optimise databases and data processing systems.
• Ensure data quality, accuracy, security and availability.
• Collaborate with data scientists, analysts and software engineers.
• Identify opportunities to improve data processes and system performance.
• Troubleshoot and resolve data-related technical issues.
• Maintain technical documentation and follow data governance standards.
• Support the implementation of cloud-based data solutions.

Skills

SQL

Python

Data analysis

Communication

Education

Bachelor's or Master's in CS/IT/Engineering or related field

Tools

ETL/ELT

Cloud platforms

Job description

We are looking for a skilled Data Engineer to design, develop and maintain data systems that support business intelligence and data-driven decision-making. The successful candidate will work with technical teams to ensure data is reliable, accessible, secure and efficiently managed.

Key Responsibilities

• Design, develop and maintain scalable data pipelines.
• Collect, transform and integrate data from multiple sources.
• Develop and optimise databases and data processing systems.
• Ensure data quality, accuracy, security and availability.
• Work closely with data scientists, analysts and software engineers.
• Identify opportunities to improve data processes and system performance.
• Troubleshoot and resolve data-related technical issues.
• Maintain technical documentation and follow data governance standards.
• Support the implementation of cloud-based data solutions.

Requirements

• Bachelors or Master's degree in Computer Science, Data Engineering, Information Technology, Engineering or a related field.
• Strong knowledge of SQL and Python.
• Understanding of databases, ETL/ELT processes and data pipelines.
• Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud is desirable.
• Knowledge of data warehousing and big data technologies is an advantage.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.