Managing Consultant, Data Engineer
ERM (company site, opens in a new tab)8–12 yrsDelhi NCROn-siteDirect career pageEst. 22–36 LPA
Posted on 31 Aug
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at ERM
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at ERM you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines, web applications, and cloud-based solutions supporting global sustainability consulting projects.
- Implement and optimize cloud data platforms and enterprise applications using technologies like Azure, AWS, ReactJS, APIs, and DevOps practices.
- Provide technical guidance and develop reusable frameworks to improve delivery consistency and enable scalable data management and digital transformation.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, IT, Engineering, Data Engineering, Data Science, or related field.
- 8-12 years of experience in Data Engineering, Application Development, or Software Engineering.
- Proficiency in Python, SQL, ReactJS, REST APIs, relational and non-relational databases, and cloud platforms (Azure, AWS, Microsoft Fabric).
- Experience with ETL/ELT workflows, DevOps, CI/CD, and Agile methodologies.
Ideal Candidate Profile
- Experienced in developing cloud-enabled data platforms and scalable web applications for enterprise-level sustainability or business transformation projects.
- Comfortable collaborating with global stakeholders and translating business requirements into maintainable technical solutions.
- Skilled in mentoring and capability building within technical teams, with a focus on data engineering and application development best practices.