Fiserv India Pvt Ltd
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Noida · On-site · 2-5 Yrs · Aug 22
1001 to 5000 Employees · Noida, India
What employees say
+ Wide range of product lines in financial services. Opportunities to learn core financial product functionalities. Options for internal job movement.
− Strict 5 days mandate in office. Executive Leadership changes still didn't settled down after CEO change, more frequent leadership changes wide across questioning the stability.
More reviews on the company profile.
Interview experience · Analyst
mode of interview is online through microsoft teams, duration was around 35mins, interview well going on through your resume only, i mistakenly applied with mern stack resume role : analyst, can expect questions on pytho
Average difficulty · Bengaluru · 3 reports
More interview insightsJob description
Overview
Data Engineer - Business Transformation at Fiserv. Build scalable data foundations that enable trusted reporting, analytics, and decision support across key transformation initiatives in fintech and payments.
Responsibilities
- Build scalable data foundations that enable trusted reporting, analytics, and decision support across key transformation initiatives
- Identify source systems, data owners, key fields, dependencies, and data gaps required for decision support
- Partner with business and technology teams to document data flows, lineage, metric definitions, and reporting requirements
- Establish common data models, reusable datasets, and governed analytics layers to improve consistency across initiatives
- Build automated data flows from source systems to analytics, reporting, and dashboard layers
- Develop, test, and maintain ETL/ELT processes using SQL, Python, and modern data platform tools
- Monitor pipeline reliability, data quality, refresh timelines, and issue resolution to ensure trusted reporting outputs
- Build and maintain dashboards, recurring views, KPI scorecards, and key data assets for transformation programs
- Standardize analytical logic, metric definitions, data dictionaries, and documentation across priority initiatives
- Support governance practices related to access, data quality, metadata, and usage consistency
Qualifications
- 2-4 years of experience in data engineering, data platforms, business intelligence, or related data functions
- Strong SQL, Python, ETL/ELT capabilities
- Experience working with cloud platforms, BI tools, data governance practices, and automated reporting frameworks
- Ability to understand business requirements and translate them into scalable data structures and reusable assets
Nice to have
- Experience in merchant data infrastructure, billing, payments, fintech, or financial services environments
- Exposure to AI-enabled use cases, semantic layers, data catalogues, and analytics modernization initiatives
- Experience with BI and analytics tools such as Power BI, Tableau, SQL, Alteryx, Python, R, or similar technologies
- Prior experience supporting executive dashboards, KPI standardization, and enterprise reporting programs
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