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
AWS
S3
Snowflake
Spark
PySpark
Where the posting names them
- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
- Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
- Capability to perform coding, debugging, performance tuning, and deploying applications to production environments.
- Strong expertise in Big Data concepts and cloud implementation projects.
- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
- Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
- Familiarity with DevOps tools and practices (e.g., Jenkins, Git) and experience in CI/CD pipelines.
- Knowledge of Spark, SQL (with Snowflake exposure), and advanced Big Data Concepts.
- Experience with cloud migrations and development projects
Yes. We’ve followed 3 other AWS Lead Data Engineer jobs there since August 2026. One came down after 1 day. 2 are still up.
PuneStill up after 85 days, first seen Aug 12
GurugramStill up after 85 days, first seen Aug 12
NoidaCame down after 1 day, first seen Aug 13
This jobUp 28 days so far, first seen Oct 9
Aug 12Today
Large employers often post one title for several teams, so these can be separate openings.
About EXL Service
People
About 65,000 in 2025, up 9% from the year before.Annual report (SEC Form 10-K)
Company
Listed as EXLS.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 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.