Role: Data Engineer
Location: Noida(Work from Office 4 days from week)
Shift Timings - 11 AM to 9 PM
We have reviewed all the profiles shared under the Data Engineer category. Just to clarify, our requirement is for a Data Analyst, not a pure Data Engineer.
Our key expectations are:
- Experience: 2–6 years
- Core Skills: Good SQL (mandatory), Python (good to have), Tableau or Power BI (good to have)
- Key Competencies:
- Strong hands-on experience in ETL, data cleaning, and data analysis
- Experience in creating and automating data workflows to support end-user use cases
We would prefer candidates with a strong Data Analyst / Analytics background and would like to avoid profiles that are primarily focused on Data Engineering with PySpark, Databricks, Spark, etc.
That said, we have shortlisted the Data Engineer profiles shared so far and would like to give them a try as well. Please check their availability and proceed with scheduling.
Among the profiles shared, Vatsal Choudhary's profile stood out to us the most, primarily because of his previous experience as an Associate Analyst at EY GDS, rather than his current role.
Some relevant experience from his EY tenure:
- Supported Medicare Advantage and Risk Adjustment analytics programs, processing claims datasets covering 1M+ patient records to surface insights for US healthcare clients.
- Developed 10+ SQL and Python-based data transformation workflows in Databricks, reducing manual data preparation effort by approximately 60% and enabling faster reporting cycles.
This combination of SQL, Python, data analysis, healthcare analytics, and workflow automation is closer to what we are looking for.
Interview Preference
F2F Interview – Preferred
- Written Test
- Round 1 – SQL assessment + Resume/experience discussion
- Round 2 – Hiring Manager
Our preference is for F2F interviews on weekdays, anytime after 12:00 PM.
Virtual Interview – Least Preferred
- Round 1 – SQL
- Round 2 – Advanced SQL, ETL & Resume/experience discussion
- Round 3 – Hiring Manager
Please use the above requirements as the reference point while sharing and shortlisting future profiles as well.