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Salary
≈ $16k – $42k per year (Estimated)
Location
In office (Mumbai)

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 21, 2026.

Overview
Company
Impact
Profile match
HDFC Bank Limited was promoted in the year 1994 by the premier housing finance company of the country, HDFC Limited, the bank commenced operations as a scheduled commercial bank in January 1995. Today the bank has a nationwide network of over 4541 branches and 12013 ATM's in 2587 cities/towns. The bank's American Depository Shares (ADS) are listed on the New York Stock Exchange (NYSE) and the Global Depository Receipts (GDRs) are listed on the Luxembourg Stock Exchange.

Job Title

Data Engineer-BIU

Business Unit

Finance

Reporting To

Team Lead

Job Function and Role Type

Finance, Individual Contributor

Version No

1.0

Job Purpose

Responsible for identifying trends in data sets and developing algorithms to transform raw data into actionable insights. Acts as a liaison between business teams, IT, and team members to meet business objectives through data-driven solutions.

Key Responsibilities

Actionable (4-6)

Understand business requirements and construct algorithms to define rules and create data architecture; Create data trends and identify ways to improve data reliability, efficiency, and quality; Use large data sets to address business issues and deliver updates to stakeholders based on analytics; Data Architecture; Develop and maintain scalable data architecture to support business needs; Ensure data integrity and security across all systems and processes; Data Trends; Analyze data trends to identify opportunities for process improvements; Provide insights to drive decision-making and optimize business performance.

Data Architecture, Data Trends

Requirements and construct the algorithm to

Design algorithms to transform raw data into meaningful insights; Develop solutions to streamline data access and reporting; Define The Rule And Create The Data Architecture; Establish data governance rules and frameworks; Implement best practices for data modeling and architecture; Improve Data Reliability, Efficiency And Quality; Monitor data quality and implement measures to enhance accuracy; Optimize data processes to improve efficiency and reliability; Use Large Data Sets To Address Business Issues; Leverage advanced analytics to solve complex business challenges; Present actionable insights through dashboards and visualizations.

define the rule and create the data architecture.

improve data reliability, efficiency and quality.

Use large data sets to address business issues.

Education:

Degree in Computer Science, Finance, or Banking Technology; MBA Finance preferred.

Certifications:

MSBI, SQL Server, Data Analysis.

Key Competencies

Data analysis, visualization tools, programming knowledge, communication, time management.

Major Stakeholders

Business teams across the bank.

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