Jobs at Dicetek LLC

About the Role: We are seeking a highly skilled and experienced QA Tester to join our retail bank's technology team. The successful candidate will be responsible for ensuring the quality and reliability of our banking applications through comprehensive manual and automated testing processes. The QA Tester will work closely with developers, business analysts, and other stakeholders to identify defects and ensure that our applications meet user requirements and industry standards. Key Responsibilities: • Develop test plans, test cases, and test scripts to ensure maximum test coverage • Execute and evaluate manual and automated test cases to identify defects and issues • Collaborate with developers to reproduce, analyze, and resolve software defects • Conduct user acceptance testing to ensure that banking applications meet user requirements • Continuously improve testing processes and strategies to enhance software quality • Participate in Agile ceremonies such as stand-ups, sprint planning, and retrospectives Qualifications: • A minimum of 5 years of experience in QA testing within the banking industry • Strong expertise in manual testing, automation testing tools, and user acceptance testing • Solid understanding of software testing methodologies, tools, and best practices • Excellent analytical and problem-solving skills with attention to detail • Effective communication and collaboration abilities to work with cross-functional teams • Experience working in an Agile development environment is a plus • Bachelor's degree in Computer Science, Engineering, or related field is preferred

About the Role: We are seeking a highly skilled and experienced QA Tester to join our retail bank's technology team. The successful candidate will be responsible for ensuring the quality and reliability of our banking applications through comprehensive manual and automated testing processes. The QA Tester will work closely with developers, business analysts, and other stakeholders to identify defects and ensure that our applications meet user requirements and industry standards. Key Responsibilities: • Develop test plans, test cases, and test scripts to ensure maximum test coverage • Execute and evaluate manual and automated test cases to identify defects and issues • Collaborate with developers to reproduce, analyze, and resolve software defects • Conduct user acceptance testing to ensure that banking applications meet user requirements • Continuously improve testing processes and strategies to enhance software quality • Participate in Agile ceremonies such as stand-ups, sprint planning, and retrospectives Qualifications: • A minimum of 5 years of experience in QA testing within the banking industry • Strong expertise in manual testing, automation testing tools, and user acceptance testing • Solid understanding of software testing methodologies, tools, and best practices • Excellent analytical and problem-solving skills with attention to detail • Effective communication and collaboration abilities to work with cross-functional teams • Experience working in an Agile development environment is a plus • Bachelor's degree in Computer Science, Engineering, or related field is preferred

About the Role: We are seeking a highly skilled and experienced QA Tester to join our retail bank's technology team. The successful candidate will be responsible for ensuring the quality and reliability of our banking applications through comprehensive manual and automated testing processes. The QA Tester will work closely with developers, business analysts, and other stakeholders to identify defects and ensure that our applications meet user requirements and industry standards. Key Responsibilities: • Develop test plans, test cases, and test scripts to ensure maximum test coverage • Execute and evaluate manual and automated test cases to identify defects and issues • Collaborate with developers to reproduce, analyze, and resolve software defects • Conduct user acceptance testing to ensure that banking applications meet user requirements • Continuously improve testing processes and strategies to enhance software quality • Participate in Agile ceremonies such as stand-ups, sprint planning, and retrospectives Qualifications: • A minimum of 5 years of experience in QA testing within the banking industry • Strong expertise in manual testing, automation testing tools, and user acceptance testing • Solid understanding of software testing methodologies, tools, and best practices • Excellent analytical and problem-solving skills with attention to detail • Effective communication and collaboration abilities to work with cross-functional teams • Experience working in an Agile development environment is a plus • Bachelor's degree in Computer Science, Engineering, or related field is preferred

Specific Accountability :-Lead the design, build, and optimization of batch and real-time data pipelines.Own data model design, ingestion frameworks, transformation logic, and platform reliability.Ensure high standards for data quality, lineage, governance, security, and compliance.Drive performance tuning, cost optimization, monitoring, and incident resolution across dataplatforms.Translate business and analytics needs into scalable technical solutions and delivery plans.Guide code reviews, technical standards, and release practices for data engineering work.Mentor team members, allocate work, and provide technical leadership on complex initiatives.Collaborate with value delivery owners, architects, analysts, scientists, and application teams toenable trusted data products Minimum QualificationOverall 5-7 years of experience in data engineering and transformation on Cloud3+ Years of Very Strong Experience in Azure Data Engineering, DatabricksExpertise in supporting/developing Data warehouse workloads at enterprise levelExperience in pyspark is required – developing and deploying the workloads to run on the Sparkdistributed computingCandidate must possess at least a Graduate or bachelor’s degree in Computer Science/InformationTechnology, Engineering (Computer/Telecommunication) or equivalent.Cloud deployment: Preferably Microsoft azureExperience in implementing the platform and application monitoring using Cloud native toolsExperience in implement application self-healing solutions through proactive and reactive automatedmeasures

Specific Accountability :-Lead the design, build, and optimization of batch and real-time data pipelines.Own data model design, ingestion frameworks, transformation logic, and platform reliability.Ensure high standards for data quality, lineage, governance, security, and compliance.Drive performance tuning, cost optimization, monitoring, and incident resolution across dataplatforms.Translate business and analytics needs into scalable technical solutions and delivery plans.Guide code reviews, technical standards, and release practices for data engineering work.Mentor team members, allocate work, and provide technical leadership on complex initiatives.Collaborate with value delivery owners, architects, analysts, scientists, and application teams toenable trusted data products Minimum QualificationOverall 5-7 years of experience in data engineering and transformation on Cloud3+ Years of Very Strong Experience in Azure Data Engineering, DatabricksExpertise in supporting/developing Data warehouse workloads at enterprise levelExperience in pyspark is required – developing and deploying the workloads to run on the Sparkdistributed computingCandidate must possess at least a Graduate or bachelor’s degree in Computer Science/InformationTechnology, Engineering (Computer/Telecommunication) or equivalent.Cloud deployment: Preferably Microsoft azureExperience in implementing the platform and application monitoring using Cloud native toolsExperience in implement application self-healing solutions through proactive and reactive automatedmeasures

Specific Accountability :-Lead the design, build, and optimization of batch and real-time data pipelines.Own data model design, ingestion frameworks, transformation logic, and platform reliability.Ensure high standards for data quality, lineage, governance, security, and compliance.Drive performance tuning, cost optimization, monitoring, and incident resolution across dataplatforms.Translate business and analytics needs into scalable technical solutions and delivery plans.Guide code reviews, technical standards, and release practices for data engineering work.Mentor team members, allocate work, and provide technical leadership on complex initiatives.Collaborate with value delivery owners, architects, analysts, scientists, and application teams toenable trusted data products Minimum QualificationOverall 5-7 years of experience in data engineering and transformation on Cloud3+ Years of Very Strong Experience in Azure Data Engineering, DatabricksExpertise in supporting/developing Data warehouse workloads at enterprise levelExperience in pyspark is required – developing and deploying the workloads to run on the Sparkdistributed computingCandidate must possess at least a Graduate or bachelor’s degree in Computer Science/InformationTechnology, Engineering (Computer/Telecommunication) or equivalent.Cloud deployment: Preferably Microsoft azureExperience in implementing the platform and application monitoring using Cloud native toolsExperience in implement application self-healing solutions through proactive and reactive automatedmeasures

Specific Accountability :-Lead the design, build, and optimization of batch and real-time data pipelines.Own data model design, ingestion frameworks, transformation logic, and platform reliability.Ensure high standards for data quality, lineage, governance, security, and compliance.Drive performance tuning, cost optimization, monitoring, and incident resolution across dataplatforms.Translate business and analytics needs into scalable technical solutions and delivery plans.Guide code reviews, technical standards, and release practices for data engineering work.Mentor team members, allocate work, and provide technical leadership on complex initiatives.Collaborate with value delivery owners, architects, analysts, scientists, and application teams toenable trusted data products Minimum QualificationOverall 5-7 years of experience in data engineering and transformation on Cloud3+ Years of Very Strong Experience in Azure Data Engineering, DatabricksExpertise in supporting/developing Data warehouse workloads at enterprise levelExperience in pyspark is required – developing and deploying the workloads to run on the Sparkdistributed computingCandidate must possess at least a Graduate or bachelor’s degree in Computer Science/InformationTechnology, Engineering (Computer/Telecommunication) or equivalent.Cloud deployment: Preferably Microsoft azureExperience in implementing the platform and application monitoring using Cloud native toolsExperience in implement application self-healing solutions through proactive and reactive automatedmeasures

Specific Accountability :-Lead the design, build, and optimization of batch and real-time data pipelines.Own data model design, ingestion frameworks, transformation logic, and platform reliability.Ensure high standards for data quality, lineage, governance, security, and compliance.Drive performance tuning, cost optimization, monitoring, and incident resolution across dataplatforms.Translate business and analytics needs into scalable technical solutions and delivery plans.Guide code reviews, technical standards, and release practices for data engineering work.Mentor team members, allocate work, and provide technical leadership on complex initiatives.Collaborate with value delivery owners, architects, analysts, scientists, and application teams toenable trusted data products Minimum QualificationOverall 5-7 years of experience in data engineering and transformation on Cloud3+ Years of Very Strong Experience in Azure Data Engineering, DatabricksExpertise in supporting/developing Data warehouse workloads at enterprise levelExperience in pyspark is required – developing and deploying the workloads to run on the Sparkdistributed computingCandidate must possess at least a Graduate or bachelor’s degree in Computer Science/InformationTechnology, Engineering (Computer/Telecommunication) or equivalent.Cloud deployment: Preferably Microsoft azureExperience in implementing the platform and application monitoring using Cloud native toolsExperience in implement application self-healing solutions through proactive and reactive automatedmeasures

Lead the end-to-end UI/UX design process for corporate digital channels, from research and ideation through prototyping, testing, and final delivery.Conduct comprehensive customer journey reviews to identify gaps, pain points, and opportunities for enhancement.Perform UI/UX reviews and analytics, leveraging data to inform design direction and improve both usability and user satisfaction.Collaborate with cross-functional teams including product managers, business analysts, engineers, and country leads to ensure localized and scalable solutions.Implement digital platforms and experiences across multiple countries, tailoring interfaces to meet regional requirements and regulatory standards while maintaining a unified brand experience.Focus relentlessly on customer experience, integrating user-centered design principles and practices at every stage of the product lifecycle.Drive customer engagement initiatives, collecting and synthesizing feedback from end users and stakeholders to inform continuous improvement.Facilitate customer feedback sessions, usability testing, and workshops to gather actionable insights into customer needs and expectations.Stay updated with UI/UX and fintech industry trends, advocating for innovative approaches to digital banking challenges. QUALIFICATIONS & EXPERIENCE: • Bachelor’s or Master’s degree in Design, Information Systems, or a related field.• Professional certifications in UX, UI, or related disciplines.• Working knowledge of agile development methodologies and digital banking ecosystems.• Proven experience in the full UI/UX design process for digital banking or financial services, ideally within the corporate banking space.• Demonstrated ability to conduct customer journey mapping, UI/UX reviews, and leverage analytics to drive design outcomes.• Experience implementing digital systems and products across multiple countries, with an understanding of localization and compliance.• Strong focus on customer experience, with a portfolio showcasing user-centered solutions and measurable impact on engagement and satisfaction.• Skilled in gathering, interpreting, and actioning customer feedback through interviews, surveys, and usability studies.• Excellent stakeholder management and communication skills, with the ability to align diverse teams around a shared vision for digital transformation.• Proficiency in design tools (such as Sketch, Figma, Adobe XD, InVision, or equivalent) and familiarity with analytics platforms.• Innovative thinker with a passion for solving complex problems and delivering seamless, intuitive digital experiences.• International or multi-country project experience strongly preferred.Professional training in UI/UX • Experience with Agile, Scrum, or other iterative development frameworks.• Advanced data analytics and visualization skills.• Prior experience with corporate banking channels• Proven track record of successful digital product launches in banking or fintech.

Job Summary We are seeking an experienced Business Analyst with strong domain expertise in Wealth Management. The candidate will act as a bridge between Business, Operations, Product, and Technology teams to analyze requirements, design solutions, support project delivery, and drive enhancements across Wealth Management platforms. The ideal candidate should possess strong knowledge of Bonds, Mutual Funds, Equities, Structured Products, Margin Lending, and Wealth Operations, along with experience in requirements gathering, solution design, testing, and production support. Key Responsibilities • Gather, analyze, and document business requirements from Wealth Management stakeholders. • Prepare BRDs, FSDs, Process Flows, Use Cases, and Functional Specifications. • Conduct requirement workshops and stakeholder discussions. • Translate business requirements into functional and system requirements. • Perform gap analysis and recommend optimal solutions. • Knowledge in LTV calculations,Margin utilization,Margin call processes,Collateral management,Pledged securities management and Risk monitoring and exposure calculations Nice to Have: Good Knowledge in Finacle Wealth Management System and Lending Module. Skills: requirements gathering , solution design , risk management