Data Engineer

Takachar; New Delhi; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Market-rate salary

Career growth opportunities

Climate action impact

Growth environment

Empathy & curiosity culture

Job summary

Takachar in New Delhi, India seeks an experienced Data Engineer to own the entire data infrastructure from field collection to reporting. You will design, implement and maintain scalable, auditable data systems for farmers and field operators, enabling MRV-compliant workflows and AI-enabled analytics.

You will drive end-to-end data pipelines, collaborate with operations and product teams, and stay ahead with emerging data technologies in a fast-paced climate-tech startup.

Qualifications

• 5+ years of data engineering experience or similar field.
• Experience designing end-to-end data systems and pipelines.
• AI-assisted workflows with LLMs and copilots in daily tasks.
• Familiarity with MRV systems and carbon market knowledge is preferred.
• Experience with IoT data collection systems is preferred.

Responsibilities

• Own architecture, development and maintenance of the data infrastructure.
• Field visits to collect data and ensure auditable data trails for MRV.
• Collaborate with operations, product and business teams on data solutions.
• Develop datasets for training and validating machine learning models.
• Implement data governance for security, integrity and compliance.

Skills

Python programming

SQL

Big data processing

NoSQL databases

Cloud platforms

Data governance

Data warehousing

Education

Bachelor's/Master's in Engineering/Statistics/CS

Tools

Apache Spark

Hadoop

SQL

NoSQL

AWS

Azure

GCP

Pandas

NumPy

Python

Job description

Location: New Delhi, India

We are seeking an experienced Data Engineer to take end-to-end accountability for our entire data infrastructure, from field collection till reporting. In this role, you will design, implement, and maintain data systems that are not only efficient and scalable but also user friendly for field operators, usually farmers.

You will play a crucial role in ensuring our data collection pipelines are robust, aligned with our goals of transparency and compliance in the carbon credits market. This is a high-autonomy role at a growing climate-tech where youll be the most senior person on data infrastructure, making architectural decisions with real consequences. We are building AI-products on top of this infrastructure and expect you to be AI native, someone who already uses LLMs and copilots as part of their daily workflow.

Occasional field visits to operational sites are part of the job. Please see the list of skills required below.

Key Responsibilities

• End-to-End Data Infrastructure Ownership:
• Take full accountability for the architecture, development and maintenance of our entire data infrastructure.
• Get processes implemented on the field, including through occasional field visits.
• Ensure the data system is auditable, maintaining transparent and verifiable data trails suitable for MRV (Measurement, Reporting, and Verification) standards and carbon credit verification.
• Implement data governance practices to ensure data integrity, security, and compliance
• Design and develop scalable data pipelines to collect and process data from various sources including apps, APIs, forms, IoT devices
• Develop and maintain datasets for training, validation, and testing of machine learning models.
• Collaboration with Operations, Product and Business Teams:
• Work with operations team, clients and farmers to build a user-friendly data collection and reporting system.
• Work with product team for automated machine data collection and translation into usable form. Data analysis will guide new product development.
• Work with business teams to communicate complex data processes in an understandable manner to non-technical stakeholders.
• Develop deep familiarity with the carbon credits market, digital MRV systems, and industrial data collection methods.
• Stay updated on emerging technologies in data engineering and sustainability and apply them to enhance our systems.

Desirable skills and experience

• 5+ years of experience in data engineering or related field, with a Bachelor's or Master's degree in Engineering, Statistics, Computer Science or related discipline
• Proven experience in designing and managing end-to-end data systems, data pipeline development and data integration from diverse sources, preferably in a startup environment.
• You default to AI-assisted workflows using LLMs, copilots, and generative AI tools to accelerate development, debugging, documentation and data exploration.
• Experience with MRV systems and knowledge of the carbon credits market is preferred
• Experience with industrial data collection systems and IoT devices is preferred.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy), SQL, and familiarity with data pipeline tools.
• Familiarity with big data processing tools and frameworks (e.g., Apache Spark, Hadoop).
• Strong understanding of database systems (both SQL and NoSQL) and data warehousing solutions.
• Knowledge of cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform), especially related to data services.
• Understanding of data security, privacy, and compliance best practices.
• Strong communication skills, ability to work independently, and a strong sense of ownership in a fast paced startup environment.

What's in it for you?

• Salary and benefits commensurate to market rate and as per experience level
• An opportunity to work with the worlds most awarded biomass technology company
• Opportunity to be at the forefront of climate action and pollution mitigation
• A work environment that invests in your personal and professional growth
• A culture that values empathy, curiosity & exploration

Note: Takachar is an Equal Opportunity Employer and does not discriminate on the basis or perception of race, colour, religion, sexual orientation, gender identity, national origin, disability, age, or any other consideration made unlawful by central government, state government, or local laws.