At Nat Habit, we are building efficacious personal care using natural ingredients while doing primary research to build formulations from a first principle basis to find cures, study the underlying impact on different markers and then conduct clinical studies to prove efficacy of products. Check us out on www.nathabit.in The founding team has a robust startup experience and is well funded and backed by top angel investors and tier 1 institutional investors.

Job Summary: Nat Habit is looking for a Data Engineer + Analyst who enjoys building production-grade data systems as well as data analysis. You will lead a team responsible for designing & developing reliable data pipelines and drive business analytics and intelligence in the organization. This role is ideal for engineers who enjoy solving real engineering problems, writing clean code, building scalable data platforms and driving business insights Key Responsibilities: Lead a team of analysts and engineers to create insights and monthly reporting within organization

Design, build and maintain scalable ETL/ELT pipelines using SQL, Python and tools such as Dagster, Airflow or dbt to ingest, transform and load data into data platforms.

Develop scalable and reliable data ingestion workflows.

Create BI reports and leverage AI to build dashboard and consumer insights

Design reporting datasets and analytical data models.

Work extensively with ClickHouse or other OLAP database for analytical workloads.

Optimize query performance, data storage and processing efficiency through advanced SQL techniques, partitioning,



indexing strategies and workload optimization.

Define and enforce data governance policies including data security, access control, masking and lifecycle management within data platforms. Ideal candidate will have:

Strong proficiency in Python, including Pandas, NumPy, PySpark.

Hands on experience with ETL / ELT and data integration tools, such as Apache Airflow, Pentaho, or Dagster

One or more years of experience with RDBMS and OLAP databases like Clickhouse, Redshift.

Positive working knowledge of containers like Docker or Podman

Experience building analytics report using Tableau, Metabase or other BI tools

Should have positive understanding & knowledge about observability.

Hands-on experience deploying projects beyond local development.

Experience in version control tool: Git Do not apply if following is applicable to you:

Backend engineers who only enjoy request/response APIs and CRUD, and don’t want to own end-to-end data pipelines, scheduling, and reliability.

Engineers who do not have experience with business intelligence and related tooling.

Data analysts who mainly write ad-hoc SQL and build dashboards, and do not have engineering experience eg: version control, testing, CI/CD, and data infrastructure.

People who don’t naturally question data quality – if obviously wrong or inconsistent metrics don’t bother you, this won’t be a good fit. Work

Location: Udyog Vihar - Sector 18, Gurgaon www.nathabit.in www.instagram.com/nathabit.in

Working Days: Mon - Sat (2nd/4th Sat are off)

📌 Data Engineering & Analytics Manager (Gurugram)
🏢 NAT HABIT
📍 Gurugram