Careers

As a QA Analyst at Arlanto, you will be responsible for ensuring the quality and reliability of our software solutions. You will play a key role in identifying, reporting, and resolving defects while working closely with development teams to enhance product performance. This role is perfect for someone who thrives on ensuring excellence through meticulous testing and validation, contributing to the delivery of flawless software products to our global clients.

4-6 YEARS OF EXPERIENCE IN PROFESSIONAL IMPLEMENTATION AND MAINTENANCE OF SOFTWARE SOLUTIONS USING: 

• Core Java / J2EE / JSP / Javascript, Maven / ANT (Must)
• Spring and Hibernate (Must) 
• Open source web frameworks like Zkoss (Could)
• MySql (Must) / Oracle or DB2 (Could)
• Jasper reporting (Could) or any other comparable reporting skills
• WebSerivces/JAXB/JPA, JAX-WS, UML (Could)
• Tomcat (Must)/ Web Logic or WebSphere (Could)
• App designing (Could)
• Devops knowledge (Could)

Functional/Operational Skills 

1. Active participation in all project phases from first customer contact to product deployment

2. Ability to work in international project teams to further develop our core products and to implement customer-specific solutions (plug-ins)

3. Willingness to continuous learning in the areas of analysis, architecture, design and implementation

4. Prior software product development life cycle and support experience (Could)

5. Prior domain/functional experience in Banking or Finance or Higher Educational institutes for instance institutes ranked at University level (Could)

Your Profile

Degree in Computer Science or equivalent professional experience. 

Working Experience in software development with Java, Web Services, Java Web Technologies, AJAX and Eclipse Experience in JEE technologies, JPA, JAX-WS, JAXB, UML,OOD, OOA, modern testing strategies and reporting frame
works are advantageous.

Affinity to team work with a high degree of flexibility and customer orientation.

We’re hiring a Data Engineer to build data pipelines for a workplace analytics initiative for a global banking client. The role involves pulling data from physical access systems and building/space systems, cleaning and
transforming it, and producing safe, aggregated datasets — without exposing sensitive raw data. This runs on the client’s on-prem servers today, with a planned future move to Google Cloud Platform (GCP). This is a production-facing
role — you’ll be expected to follow proper escalation processes and lead root cause analysis when issues arise.

4-6 years of data engineering experience, strong SQL and Python fundamentals, real hands-on ETL and data modeling work
 

• Strong SQL — including query tuning and performance optimization
• Python (or similar scripting language) for pipeline logic
• ETL/ELT development — hands-on, not just conceptual
• Data modeling — structuring data cleanly and thoughtfully, both logically and physically; this is a top priority for this role
• Logical Data Models (LDM) and Physical Data Models (PDM) — able to design conceptual data structures and translate them into real database implementations
• Data quality and data lineage — ensuring accuracy and being able to trace how data moves and transforms across the pipeline
• SDLC understanding — comfortable working within a structured software delivery process
• Escalation handling and Root Cause Analysis (RCA) — experience with production support processes, knowing when and how to escalate issues, and investigating problems methodically
• Strong problem-solving ability
• Comfortable working independently — self-starter, analytical thinker, doesn’t need constant hand-holding

Functional/Operational Skills 

• Build and maintain ETL/ELT pipelines pulling from multiple source systems
• Design clean, well-structured data models — this is judged heavily, since the design will carry forward into a future cloud migration
• Work across both logical and physical data modeling — from conceptual entity design through to actual database implementation
• Write and tune SQL queries for large data volumes
• Automate pipeline runs 
• Ensure data quality, validation, and reconciliation
• Maintain data lineage — track and document how data moves and transforms across the pipeline, from raw source to final output
• Build with a “cloud-ready” mindset — code and design should lift-and-shift cleanly to GCP later
• Work with synthetic/test data (production data won’t be available in lower environments)
• Follow structured SDLC practices across requirements, design, development, testing, and deployment
• Handle production issues through proper escalation procedures and structured Root Cause Analysis (RCA)
• Work closely with the internal team to stay up to date on product features, changes, and issues

Your Profile

Minimum experience needed to work confidently and independently in ETL and data modeling specifically — candidates don’t need to check every box (aim for roughly 75% skill match), since our internal team will support and fill any smaller gaps.

Solid grounding in logical/physical data modeling, data quality, and data lineage principles. Strong problem-solving skills, comfortable
working closely with internal teams to stay current on product features and changes. Comfortable in a regulated, enterprise environment, with experience in SDLC-driven delivery and structured production support (escalations,
RCA). Prior banking/financial services experience is a plus, not required.

Location

Bengaluru, India