16 Aug
|
NAT HABIT
|
Gurugram
16 Aug
NAT HABIT
Gurugram
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 who enjoys building production-grade data systems. Youwill be responsible for designing, developing, deploying, and maintaining reliable data pipelines thatsupport business analytics and intelligence.
This role is ideal for engineers who enjoy solving real engineering problems, writing clean code,and building scalable data platforms.
Key Responsibilities:
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.
Build incremental data pipelines capable of handling millions of records efficiently.
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.
Monitor pipeline execution, troubleshoot failures, and improve system reliability.
Solid understanding of batch and streaming data processing techniques.
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
📌 Senior Data Engineer (Gurugram)
🏢 NAT HABIT
📍 Gurugram