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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

0–3 yearsDirect Career PageEst. 4–10 LPA

Posted 18h ago

Against your primary resume

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Support data extraction, transformation, and loading (ETL) using Azure Data Factory and Databricks under senior guidance.

Develop and maintain Python/PySpark notebooks; integrate data from ERP systems into Azure workflows for medium complexity clients.

Assist audit teams with financial data analytics, developing routines, and resolving data processing issues in coordination with client IT.

Education: BE/B.Tech/MCA from premium institutes (IITs, NMIMS, etc.) including dual degree (B.Tech+MBA).

Work Experience: 0-3 years, entry-level position aimed at fresh graduates.

Technical Skills: Azure, Databricks, PySpark, SQL Server, Power BI, MS BI (SSIS, SSAS), Python or similar programming.

Preferred Knowledge: Database architecture, RDBMS concepts; good understanding of Gen AI and experience preferred.

Entry-level candidate with foundational skills and eagerness to develop in ETL and Azure cloud-based data engineering services.

Comfortable working under senior supervision, supporting medium complexity client engagements and coordinating with client IT teams.

Focused on gaining proficiency in financial audit data analytics sub-modules like journal entry testing, sub-ledger analysis (O2C, P2P).