Specialist, Data Architecture at Fiserv

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MS SQL, PSQL, MS SSIS, Data Warehousing, AI/ML Analytics, Python, Pandas, NumPy, Scikit-Learn, Regression, Classification, Clustering, Time-series Forecasting, ETL, Performance Tuning, Agile Methodologies

Industry

IT Services and IT Consulting

Description

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Specialist, Data Architecture What does a successful Specialist, Data Conversions do? A Conversion Specialist is responsible for timely and accurate conversion of new and existing Bank/Client base data to Fiserv systems, from both internal and external sources. This role is responsible to provide data analysis for client projects and to accommodate other ad hoc data updates to meet client requests. What you will do A Conversion Specialist is responsible for timely and accurate conversion of new and existing Bank/Client base data to Fiserv systems, from both internal and external sources. This role is responsible to provide data analysis for client projects and to accommodate other ad hoc data updates to meet client requests. As part of the overall Service Delivery organization, a Conversion Specialist plays a critical role in mapping in data to support project initiatives for new and existing banks/clients. Working with financial services data means a high priority on accuracy and adherence to procedures and guidelines. The person stepping in as the backup would need to review the specifications history and then review and understand the code that was being developed to resolve the issue and or change. This would also have to occur on the switch back to the original developer. Today, the associate handling the project would log back in to support the effort and address the issue and or change. What you will need to have Bachelor’s degree in programming or related field Minimum 5 years’ relevant experience in data processing (ETL) conversions or financial services industry 5 – 8 years’ Experience and strong knowledge of MS SQL/PSQL, MS SSIS and data warehousing concepts Strong experience with AI/ML analytics applied to reporting use cases. Python (Pandas, NumPy, Scikit‑Learn, StatsModels, Matplotlib, Seaborn) Natural‑language summaries and insights for business users Apply ML techniques (regression, classification, clustering, time‑series forecasting) to business reporting use cases. Strong communication skills and ability to provide technical information to non-technical colleagues. Should have Ability to mentor junior team members Should have Ability to manage and prioritize work queue across multiple workstreams. Should have strong database fundamentals and Expert knowledge in writing SQL commands, queries and stored procedures Experience in Performance Tuning of SQL queries. Team player with ability to work independently. Experience in full software development life cycle using agile methodologies. Efficient in Reviewing, Analyzing, coding, testing, and debugging of application/ETL programs. Should be able to work under pressure while resolving critical issues in Prod environment. Good communication skills and experience in working with Clients. Good understanding in Banking Domain. Understanding Applications and related database features that can be leveraged to improve performance Experience of creating testing artifacts (test cases, test plans) and knowledge of various testing types. What would be great to have Experience with Data modeling, Informatica, Power BI, MS Visual Basic, Microsoft Access and Microsoft Excel required. Experience with Card Management systems, debit card processing is a plus Strong communication skills and ability to provide technical information to non-technical colleagues Ability to manage and prioritize work queue across multiple workstreams Team player with ability to work independently Highest attention to detail and accuracy Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. There's a reason why Fiserv is the global leader in information management and electronic commerce systems for the financial services industry. It's our people. If you are a talented professional who gets excited by the challenge of helping Fiserv lead the transformation of financial services technology for our clients' benefit, we encourage you to explore career opportunities with Fiserv, where turning possibilities into realities is the norm.

Responsibilities

Responsible for the timely and accurate conversion of bank and client data into Fiserv systems from various sources. The role involves providing data analysis for client projects and performing ad hoc data updates to meet specific client requests.