PAID JOB
Data and Analytics
Full Time
Hybrid
Data Engineer
Delhi, India
3–6 yrs
₹16,00,000 – ₹28,00,000 / year
Posted 4d ago
Moonfire is hiring a Data Engineer for a hybrid paid role in Delhi, India. Build the pipelines and warehouses that power analytics and AI. You will make data reliable, well modelled and easy for teams to use.
What you will do
- Build and maintain batch and streaming data pipelines
- Model data for analytics and machine learning
- Add data-quality checks and monitoring
- Work with analysts and scientists on their needs
What we are looking for
- 3 to 6 years in data engineering
- Strong SQL and Python
- Experience with Airflow, dbt or Spark
- Attention to data quality
Role details
- Level: Mid. This is a mid-level role for engineers and specialists with solid experience.
- Location and work mode: Delhi, India. A hybrid arrangement: part of the week in our Delhi office, the rest from home.
- Pay: ₹16–28 LPA. Every Moonfire role and internship is paid.
How to apply
Select Apply now, upload your resume and complete the short form. Moonfire never charges candidates any fee at any stage.
Skills we're looking for
SQL
Python
Airflow
dbt
Spark
Data Warehousing
AWS
Data Modelling
Quick answers
- Where is the Data Engineer role based?
- It is based in Delhi, India.
- Is the Data Engineer role remote?
- Partly. This is a hybrid arrangement, with part of the week in the office and part from home.
- What does the Data Engineer role pay?
- Pay is ₹16,00,000 – ₹28,00,000 / year. This is a paid job at Moonfire.
- How much experience does the Data Engineer role need?
- Moonfire is looking for 3 to 6 years of relevant experience.
- What skills does the Data Engineer role require?
- SQL, Python, Airflow, dbt, Spark, Data Warehousing, AWS, Data Modelling.
- How do I apply for the Data Engineer role?
- Select Apply now on this page, upload your resume and submit the short form. Moonfire never charges candidates any fee for a job, interview or offer. Apply only through this website.