Data Engineer
Dexian
Join Dexian as a Data Engineer to develop and maintain data pipelines for governance and analytics, primarily in Chennai, Pune, Hyderabad, or Bangalore.
Last checked on September 14, 2026. We may earn a commission when you click through.
This position is ideal for data professionals comfortable with evening shifts and looking to enhance their skills in a growing field. However, the lack of salary transparency may deter some applicants.
About this role
Join Dexian as a Data Engineer to develop and maintain data pipelines for governance and analytics, primarily in Chennai, Pune, Hyderabad, or Bangalore.
About the Company
Dexian specializes in data engineering and analytics solutions, focusing on providing innovative data management services.
Key Highlights
- ✓ Hands-on experience with data pipeline development
- ✓ Focus on data governance and analytics
- ✓ Opportunity to work in a UK shift schedule
- ✓ Locations available in major Indian cities
💡 Honest Take: While the role offers a to work with data, be prepared for the UK's 2 PM to 11 PM shift, which may not suit everyone's lifestyle. The absence of salary disclosure can also make it hard to gauge overall job appeal.
Pros
- ✓ Hands-on development role
- ✓ Work with data governance
- ✓ Opportunity to work in major tech hubs
- ✓ Flexible working hours
Cons
- ✗ UK shift may not suit everyone
- ✗ Salary information not disclosed
- ✗ Limited remote work options
Best For: Ideal for tech-savvy individuals in Chennai or nearby cities, looking to advance their careers in data engineering.
Watch Out: The shift timing might be a dealbreaker for those preferring traditional work hours.
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Expert Review
Entering the role of Data Engineer at Dexian means engaging in an environment focused on data management and governance. The UK shift from 2 PM to 11 PM is a significant aspect — it allows for collaboration with international teams but may disrupt personal routines. The company promotes an innovative approach to data engineering, but applicants should consider the implications of working late hours.
The absence of disclosed salary may raise concerns for potential applicants, making it hard to assess whether the compensation aligns with their expectations and market standards. the opportunity for remote work appears limited, placing emphasis on in-office collaboration, which might not suit everyone. For those willing to adapt to the shift and seeking to grow in a data-centric role, this position can provide valuable experience.
However, lack of clarity on pay and the specific requirements of the shift could hinder interest among candidates who prioritize work-life balance. This role is individuals who thrive in s and are looking to deepen their expertise in data governance.
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