Noida, Uttar Pradesh, India
Open 3 months, first seen by us 93 days agoWork setup in the employer’s posting: HybridFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design and implement data pipelines
Optimize data processing and storage
Ensure data solutions meet performance standards
Provide technical support
Collaborate with stakeholders
Design and implement data pipelines
Optimize data processing and storage
Ensure data solutions meet performance standards
Provide technical support
Collaborate with stakeholders
5-8 years
Strong experience in data engineering
problem-solving skills are required
Bachelor's/Master's in Engineering
Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders. Bachelor's/Master's in Engineering 5-8 years
Open 3 monthsWe first saw this posting 93 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 93
Up longer than most. Similar jobs usually come down between day 6 and day 56.
Well past EXL Service’s usual: its jobs come down by about day 21.
From 13,630 similar postings that came down, and 281 of EXL Service’s. Coming down is not always a hire.
211 open jobs
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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.
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.
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.
Data Engineers design and build data systems and pipelines. Responsibilities include developing data processing workflows, optimizing data storage, and ensuring data accuracy. You will collaborate with data scientists and analysts to meet data requirements and resolve data issues. Strong experience in data engineering and problem-solving skills are required.
Design and implement data pipelines, Optimize data processing and storage, Ensure data solutions meet performance standards, Provide technical support, Collaborate with stakeholders.
Bachelor's/Master's in Engineering 5-8 years
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Noida, Uttar Pradesh, India
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