Time since we first saw it
Day 125
Up longer than most. Similar jobs usually come down between day 6 and day 56.
From 13,630 similar postings that came down. Coming down is not always a hire.
Data Engineer
Noida, Uttar Pradesh, India
Open 4 months, first seen by us 125 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain scalable ETL/ELT data pipelines
Develop data processing workflows in Python and PySpark
Integrate data from multiple sources while keeping quality high
Optimize SQL queries and improve pipeline performance
Monitor, troubleshoot, and maintain data workflows
From the employer’s posting
Design, build, and maintain scalable ETL/ELT data pipelines.
Develop data processing workflows using Python and PySpark.
Integrate data from multiple sources while ensuring data quality and integrity.
Optimize SQL queries and improve data pipeline performance.
Monitor, troubleshoot, and maintain data workflows.
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Computer Science, IT, Data Science, or related field
- Strong proficiency in Python, PySpark, and SQL
- Hands-on experience with Databricks and Snowflake
- Good understanding of ETL/ELT pipeline development
- Strong analytical and problem-solving skills
Preferred experience
- Familiarity with PyTorch
- Knowledge of data warehousing concepts and cloud platforms
Qualification wording
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Strong proficiency in Python, PySpark, and SQL.
Hands-on experience with Databricks and Snowflake.
Good understanding of ETL/ELT pipeline development.
Strong analytical and problem-solving skills.
Familiarity with PyTorch is an added advantage.
Knowledge of data warehousing concepts and cloud platforms is preferred.
Education & alternatives
Design, build, and maintain scalable ETL/ELT data pipelines. Develop data processing workflows using Python and PySpark. Work with Databricks and Snowflake for data storage, transformation, and analytics. Integrate data from multiple sources while ensuring data quality and integrity. Optimize SQL queries and improve data pipeline performance. Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions. Monitor, troubleshoot, and maintain data workflows. Document data models, pipelines, and technical processes. Requirements Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Strong proficiency in Python, PySpark, and SQL. Hands-on experience with Databricks and Snowflake. Good understanding of ETL/ELT pipeline development. Familiarity with PyTorch is an added advantage. Knowledge of data warehousing concepts and cloud platforms is preferred. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 125 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 11, 2026125 days ago
- Recorded sightings
- 55
- Last seen by us
- Nov 12, 2026
- Employer says posted
- Jul 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Bonami Software is hiring
1 open job
- No new data jobs since July
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Snowflake
- PySpark
- PyTorch
Where the posting names them
Design, build, and maintain scalable ETL/ELT data pipelines. Develop data processing workflows using Python and PySpark. Work with Databricks and Snowflake for data storage, transformation, and analytics. Integrate data from multiple sources while ensuring data quality and integrity. Optimize SQL queries and improve data pipeline performance. Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions. Monitor, troubleshoot, and maintain data workflows. Document data models, pipelines, and technical processes. Requirements Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Strong proficiency in Python, PySpark, and SQL. Hands-on experience with Databricks and Snowflake. Good understanding of ETL/ELT pipeline development. Familiarity with PyTorch is an added advantage. Knowledge of data warehousing concepts and cloud platforms is preferred. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.
Your next step
Complete your application on bonamisoftware.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Design, build, and maintain scalable ETL/ELT data pipelines. Develop data processing workflows using Python and PySpark. Work with Databricks and Snowflake for data storage, transformation, and analytics. Integrate data from multiple sources while ensuring data quality and integrity. Optimize SQL queries and improve data pipeline performance. Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions. Monitor, troubleshoot, and maintain data workflows. Document data models, pipelines, and technical processes. Requirements Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Strong proficiency in Python, PySpark, and SQL. Hands-on experience with Databricks and Snowflake. Good understanding of ETL/ELT pipeline development. Familiarity with PyTorch is an added advantage. Knowledge of data warehousing concepts and cloud platforms is preferred. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Noida, Uttar Pradesh, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.