Data Engineer

ResponsibleUs; New Delhi; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Council on Energy, Environment and Water (CEEW) in Delhi, India, is seeking a mid-level DevOps Engineer focused on policy, research and advocacy data platforms. You will design and maintain batch and real-time data pipelines, ingest diverse data sources, and build cloud data lakes on GCP or AWS.

You will develop data models, optimize storage and query performance, and implement data quality, security, and monitoring across CI/CD-enabled environments.

Qualifications

• 5+ years of experience in data engineering and production-grade pipelines
• Strong proficiency in Python and SQL
• Experience with ETL/ELT, data modelling, APIs, relational databases, and data lake/warehouse architectures
• Hands-on experience with GCP or AWS data and infrastructure services
• Experience with PostgreSQL/PostGIS or similar databases
• Experience with orchestration tools such as Airflow or Prefect and processing frameworks such as Spark or Dask
• Working knowledge of Linux, Docker, CI/CD, cloud networking, monitoring, and infrastructure operations
• Strong understanding of data quality, security, performance, and cost optimisation

Responsibilities

• Design and maintain batch and real-time data pipelines using Python, SQL, and orchestration tools
• Ingest and transform data from APIs, databases, satellite imagery, public datasets, and external sources
• Build cloud-based data lakes, warehouses, and curated datasets on GCP or AWS
• Develop data models and optimise storage, partitioning, indexing, and query performance
• Build geospatial ETL workflows for formats such as NetCDF, Zarr, GeoTIFF/COG, and vector data
• Prepare reliable datasets for analytics, ML training, inference, RAG, and application APIs
• Implement data quality checks, lineage, documentation, monitoring, retries, and backfills
• Provision and manage cloud infrastructure for data, geospatial, and AI workloads
• Build CI/CD pipelines for data pipelines, backend services, and ML workloads
• Collaborate with AI, geospatial, platform, and product teams on deployment and scaling issues

Skills

Python

SQL

Airflow

Prefect

Spark

Dask

Linux

Education

B.E./B.Tech in Computer Science or related

Cloud or data engineering certifications preferred

Tools

Docker

Kubernetes

GCP

AWS

PostgreSQL

PostGIS

CI/CD

Terraform

Job description

Council on Energy, Environment and Water (CEEW) · Delhi, India

Full-time Policy, Research & Advocacy Mid-level

Contract Full-time

Experience Mid-level

Closing Date October 17, 2026

Country India

Sector Policy, Research & Advocacy

Job Description

Council on Energy, Environment andWater (CEEW), New Delhi

DevOpsEngineer - Tech and AI

Terms of reference

At CEEW, we are deliberate about what we standfor (and what we don’t stand for!) as an employer. If the description belowresonates with you, we would love to hear from you!

At CEEW, we build careers in public policy

• We offer strong visionaryleadership – with emphasis on research and impact at scale
• We actively promote leadership byinitiative
• We celebrate talent and ambition
• You will be surrounded by smartpeople who will challenge you and help you grow
• You will learn faster than yourpeers in other organisations
• Curiosity and irreverence, as wellas responsibility, come together at CEEW
• You will get above-marketremuneration
• We provide a safe space for all
• At CEEW, your life is your examplefor others

Designation offered

Focus area

Location

Duration

Full- Time

Job duties and accountabilities

Design and maintain batch and real-time data pipelines using Python, SQL, and suitable orchestration tools.

Ingest and transform data from APIs, databases, satellite imagery, public datasets, and external sources.

Build cloud-based data lakes, warehouses, and curated datasets on GCP or AWS.

Develop data models and optimise storage, partitioning, indexing, and query performance.

Build geospatial ETL workflows for formats such as NetCDF, Zarr, GeoTIFF/COG, and vector data.

Prepare reliable datasets for analytics, ML training, inference, RAG, and application APIs.

Implement data quality checks, lineage, documentation, monitoring, retries, and backfills.

Cloud and DevOps

Provision and manage cloud infrastructure required for data, geospatial, and AI workloads.

Build CI/CD pipelines for data pipelines, backend services, and ML workloads.

Use Docker and services such as Kubernetes, Cloud Run, or equivalent deployment platforms.

Implement monitoring, logging, IAM, secrets management, and cost optimisation.

Collaborate with AI, geospatial, platform, and product teams on deployment and scaling issues.

Selection Criteria

Educational Qualification

B.E./B.Tech in Computer Science, IT, or a related discipline, or equivalent relevant experience.

Relevant cloud or data engineering certifications are preferred.

Must Have

5+ years of experience in data engineering, including production-grade data pipelines.

Strong proficiency in Python and SQL.

Experience with ETL/ELT, data modelling, APIs, relational databases, and data lake or warehouse architectures.

Hands‑on experience with GCP or AWS data and infrastructure services.

Experience with PostgreSQL/PostGIS or similar databases.

Experience with orchestration tools such as Airflow or Prefect and processing frameworks such as Spark or Dask.

Working knowledge of Linux, Docker, CI/CD, cloud networking, monitoring, and infrastructure operations.

Strong understanding of data quality, security, performance, and cost optimisation.

Preferred

Experience with geospatial data stacks and tools such as PostGIS, GeoPandas, Rasterio, Xarray, GeoServer, or TiTiler.

Experience supporting AI/ML workloads, GPU environments, model serving, or MLOps platforms.

Familiarity with vector databases, embedding pipelines, and RAG systems.

Exposure to Kubernetes and infrastructure‑as‑code tools such as Terraform.

Experience with government cloud, Digital Public Infrastructure, climate tech, or public‑data systems.

Compensation

Competitive compensation – commensurate withthe experience and matching the best of the standards adopted by the industryor other similar organisations for similar roles.

Application Process

CEEW is an equal‑opportunity employer, and theselection process does not discriminate on the basis of age, gender, caste,ethnicity, religion, or sexuality. Female candidates are encouraged to apply.

Only shortlisted candidates will be notified byus. We appreciate your interest.

Council on Energy, Environment and Water (CEEW)

Policy, Research & Advocacy