Infinium Associate

Responsibilities

Design and execute ETL test scenarios, test cases and test scripts based on business and technical requirements.

Validate source-to-target data mapping, transformation rules, business rules and data flows.

Perform ETL, Data Warehouse and Database Testing across multiple data sources and target systems.

Validate data extraction, transformation, loading and reconciliation processes.

Perform data validation, data completeness, data accuracy and data integrity testing.

Write complex SQL queries for backend data validation, reconciliation and defect analysis.

Validate source-to-target mappings and identify data discrepancies. Perform database testing involving joins, stored procedures, views, functions, indexes and constraints.

Test incremental loads, full loads, CDC and batch processing where applicable.

Validate ETL workflows, schedules, dependencies and error-handling mechanisms.

Perform data reconciliation between source and target systems and investigate mismatches.

Validate duplicate records, missing records, null values, data truncation and transformation errors.

Execute regression, integration, system and end-to-end testing for ETL/data pipelines.

Validate large-volume datasets and perform data quality and consistency checks.

Work with developers, data engineers, business analysts and product teams to resolve data-related issues.

Analyze ETL job failures and assist development teams with root-cause analysis (RCA). Log, track and manage defects using tools such as Jira, Azure DevOps or similar.

Prepare test execution reports, defect reports and testing status updates.

Participate in requirement analysis, test planning, estimation and defect triage meetings.

Support UAT, production validation and post-release data verification.

Ensure testing complies with enterprise data governance, security, privacy and quality standards.

Work in an Agile/Scrum environment and participate in sprint planning, daily stand-ups, reviews and retrospectives.

Collaborate with globally distributed teams and stakeholders across business and technology functions.

Understand insurance-domain data such as policy, customer, claims, billing, premium and financial data is an advantage.

Requirements

4–6 years of hands-on experience in ETL Testing / Data Warehouse Testing / Database Testing.

Strong understanding of ETL concepts, data warehousing and data integration processes.

Strong hands-on SQL skills including complex joins, subqueries, CTEs, aggregations and data reconciliation queries.

Experience with ETL tools such as Informatica, IBM DataStage, SSIS, Talend, Azure Data Factory or similar.

Experience testing large-volume data and enterprise data pipelines. Good understanding of Dimensional Data Modeling, Star Schema, Snowflake Schema, Fact and Dimension tables.

Strong knowledge of source-to-target mapping and transformation validation.

Experience with Oracle, SQL Server, DB2, PostgreSQL or other relational databases.

Knowledge of batch processing, scheduling, incremental/full loads and data migration testing.

Experience with API, web service or downstream application data validation is preferred.

Good understanding of SDLC, STLC, defect lifecycle and Agile methodologies.

Experience with Jira, Azure DevOps, ALM or similar test/defect management tools.

Exposure to cloud data platforms such as Azure/AWS is an added advantage.

Exposure to Python or scripting for test-data validation/automation is desirable.

Knowledge of data quality, reconciliation, data lineage and data governance.

Strong analytical and problem-solving skills with the ability to investigate complex data issues.

Excellent communication and stakeholder-management skills.

Prior experience in Insurance, BFSI or other regulated enterprise environments will be highly preferred.

We are looking for a Senior Mobile Developer with deep React Native expertise to lead feature development on our investor-facing and advisor-facing mobile applications. You will own critical mobile modules end-to-end — from architecture through App Store release — and actively integrate AI capabilities into the mobile experience.

Key Responsibilities

●    Design and develop high-quality, production-grade React Native features for iOS and Android apps serving retail investors and wealth advisors.

●    Own module-level architecture decisions: navigation, state management, offline handling, performance optimisation, and security.

●    Integrate with backend APIs for real-time portfolio data, transaction processing, KYC workflows (Digilocker, V-CIP, eSign), UPI, and payment flows.

●    Implement AI-powered mobile features: intelligent recommendations, conversational interfaces, AI-assisted portfolio insights, and smart alerts.

●    Write unit tests, integration tests, and E2E tests; maintain high coverage on critical modules.

●    Conduct thorough code reviews; mentor junior and mid-level mobile engineers.

●    Optimise app performance: startup time, frame rates, memory profiling, and battery usage.

●    Manage app release pipelines: CI/CD, TestFlight/Play Console beta, App Store/Play Store deployment, and OTA updates.

●    Collaborate with Product, Design (Figma), and Backend teams in Agile sprints.

Required Qualifications

●    4–8 years of mobile development experience with 3+ years in production React Native apps.

●    Strong JavaScript/TypeScript fundamentals; deep understanding of React hooks, context, and performance patterns.

●    Experience with state management (Redux Toolkit, Zustand, or Jotai) and navigation (React Navigation v6+).

●    Hands-on with native modules/bridging when React Native abstractions are insufficient.

●    Experience with mobile CI/CD (Fastlane, GitHub Actions, Bitrise, or equivalent).

●    Knowledge of mobile app security: certificate pinning, biometric auth, secure storage, jailbreak/root detection.

●    B.Tech / B.E. in Computer Science or equivalent from a reputed institution.

Good to Have

●    Experience in fintech or BFSI mobile apps — MF transaction apps, trading apps, insurance apps, or payment apps.

●    Familiarity with SEBI/AMFI/IRDAI compliance requirements for digital financial products.

●    Exposure to LLM integration on mobile: streaming responses or AI assistant UX patterns.

●    Experience with React Native New Architecture (Fabric, JSI, TurboModules).

AI Expectations

●    Use AI coding assistants (GitHub Copilot, Cursor, Claude) as standard daily practice.

•Employment Type: Full-Time

•Experience: 8-10 Years

•Notice Period: Immediate Joiners / Serving Notice only

•MNC Background (Mandatory)

Required Knowledge & Experience:

•Strong expertise in full-stack technologies including Java, Spring Boot, Node.js, React, Angular, PostgreSQL, and AWS.

•Excellent verbal and written communication skills.

•Financial Services or Insurance domain experience is preferred.

•Proven experience in developing enterprise-scale applications and complex technology platforms.

•Strong understanding of software design patterns, frameworks, and reference architectures.

•Hands-on experience with CI/CD pipelines, DevOps practices, and deployment automation.

•Ability to lead development teams, mentor engineers, and drive technical decision-making.

•Strong analytical and problem-solving skills with an innovation-driven mindset.

Education & Experience:

•Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

•Master's degree in Computer Science or Engineering is preferred.

•Minimum 8 years of IT experience.

•5+ years of experience in the Financial Services or Insurance domain is preferred.