Q2 ebanking Internship 2026 – Data Migration Intern
Q2 ebanking
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Bengaluru, Karnataka0 – 2 Years4 days ago
LocationBengaluru, Karnataka
Experience0 – 2 Years
QualificationB.E/B.Tech/B.Sc or relevant Bachelor’s degree
Key Responsibilities
The selected candidate will work with the existing data migration team to help convert client data from legacy online banking systems into the data format required by the Q2 platform.
Construct and schedule automated processes.
Create custom processing scripts for data migration and technical tasks.
Troubleshoot complex client application, integration and environment issues.
Investigate and resolve customer data migration problems.
Document and track changes made in production environments.
Manage multiple assignments and prioritize escalated cases.
Escalate unresolved technical problems to the appropriate teams.
Work with Implementation Teams, Data Center Operations, QA and Development teams.
Follow internal change control processes for production modifications.
Contribute to the knowledge and FAQ database for supported software.
Follow security, availability, confidentiality and privacy policies.
Skills & Eligibility
Candidates should typically have a Bachelor’s degree in a relevant field and 0–2 years of experience .
The role is suitable for students, recent graduates and early-career candidates who have a technical interest in data, databases and software implementation. Candidates should demonstrate strong communication, analytical and problem-solving abilities.
Knowledge of banking practices is considered helpful, although the role is primarily technical and focused on data migration and application support.
The role requires a combination of database, programming, troubleshooting and communication skills.
SQL: Knowledge of relational databases and SQL scripting.
T-SQL: Experience with advanced SQL scripting and data processing.
Python: Ability to use Python for scripting and automation.
.NET: Familiarity with .NET programming.
Database Knowledge: Experience with Microsoft SQL Server and relational database concepts.
Data Migration: Understanding of data movement and transformation between systems.
Troubleshooting: Ability to investigate complex application, integration and data migration issues.
Networking: Basic understanding of remote tools and networking.
Documentation: Ability to document production changes, issues and solutions clearly.
Communication: Fluent written and spoken English.
SQL and advanced T-SQL scripting are among the most important technical requirements for this role.
Candidates should understand SELECT statements, joins, filtering, grouping, subqueries, stored procedures and data manipulation. Knowledge of SQL Server-specific functionality can also help because the position mentions Microsoft SQL database experience.
Data migration work often requires extracting source data, transforming it according to business rules and validating the result in the destination system.
Important skills include SQL, advanced T-SQL scripting, Python, .NET programming, database knowledge, troubleshooting, networking, documentation and strong analytical skills.
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