qode.world

Software Engineer

• Develop and maintain Informatica data integration solutions.
• Collaborate with business analysts and architects to understand data requirements.
• Optimize ETL processes for better performance.
• Mentor junior developers in best practices for ETL using Informatica.

Informatica Developer

Security Engineer

• Partner with interdepartmental teams to improve information security management processes and controls
• Drive alignment between security architecture, enterprise architecture, and business objectives
• Work closely with project teams in an Agile/Scrum environment to integrate security by design
• Foster collaboration across Technology, Risk, Compliance, and business units
• Identify opportunities for process automation and optimization within security operations
• Lead implementation of security improvements in partnership with Information Security and Technology project teams
• Analyze business needs and translate them into scalable security architectural solutions
• Ensure security capabilities align with and enable enterprise AI and innovation goals
• Manage the quality and consistency of security architecture deliverables
• Document and maintain security standards, procedures, policies, and architectural patterns
• Provide strategic input to Information Security leadership for roadmap planning and prioritization
• Conduct risk assessments and develop mitigation strategies for security architecture decisions

Enterprise Information Security Architect

Backend Engineer

• Lead the design, development, and modernization of enterprise-grade applications
• Guide teams and collaborate closely with business stakeholders

Senior .NET Fullstack Developer

Consultant

• Strategic and analytical mindset with strong problem-solving skills
• Excellent communication and stakeholder management abilities
• Adaptability to evolving payment technologies and regulatory changes
• Strong leadership, mentorship, and cross-functional collaboration skills

Payment Consultant

• This individual will be responsible for designing modern applications using AWS technology Stack like AWS DynamoDB, AWS S3, .Net Core and Angular.
• Must be hands-on with designing and leading technical teams for the development and can lead DevOps teams to set up deployment pipelines, and with a very strong ability to communicate with stakeholders.
• Ability to explain the benefits and differences between legacy vs modern applications such as monolithic vs micro apps.

.Net Developer

Product Manager

• Own and communicate the **product vision, roadmap, and backlog** for banking data and analytics platforms
• Partner with business stakeholders to define **product strategy, goals, and success metrics (KPIs)**
• Translate business outcomes into **epics, features, and well-defined user stories**
• Prioritize backlog items based on business value, risk, regulatory needs, and technical dependencies
• Act as the primary interface between business, technology, data, and compliance teams
• Drive **acceptance criteria, sprint reviews, and release readiness**
• Ensure alignment with **security, compliance, audit, and data governance standards**
• Support UAT, production readiness, and post-release performance monitoring

Senior Product Owner

Full-stack Engineer

• Partner with business and clinical stakeholders to design, implement, and optimize patient support solutions across multiple workstreams
• Translate business requirements into functional and technical specifications
• Support solution design, integration strategy, and data flow across CRM, cloud, and analytics platforms
• Collaborate with engineering, AI/ML, and data teams to enable intelligent, data-driven patient experiences
• Ensure alignment with compliance, privacy, and regulatory standards in Life Sciences
• Design and enhance patient-facing applications and digital touchpoints
• Support end-to-end patient journey mapping and optimization
• Work closely with frontend and backend teams for system integrations

Technical Lead

Database Administrator

• Develop and maintain SQL queries, scripts, and ETL workflows for data movement across diverse sources.
• Administer and maintain SQL Server databases across development, testing, and production environments at a 99.9% uptime standard.
• Manage SSRS reporting, including report creation, optimization, and system integration.
• Oversee a hosted MongoDB environment and support cross‑platform data tasks.
• Perform proactive performance tuning, capacity planning, and real‑time monitoring.
• Implement and execute database backup, restore, and disaster‑recovery strategies.
• Develop automation scripts for routine DBA operations and monitoring.
• Drive continuous improvement through monitoring, alerting, and system optimization.

SQL Database Administrator

• Own and manage the product backlog, ensuring alignment with business priorities and regulatory requirements
• Act as the primary liaison between wealth management business stakeholders and technology teams
• Translate business needs into clear user stories, acceptance criteria, and functional requirements
• Lead backlog grooming, sprint planning, and prioritization activities
• Ensure accurate representation and integration of IBOR data across systems (positions, transactions, cash, cost basis, performance, etc.)
• Collaborate with architects, developers, QA, and downstream consumers to deliver end-to-end solutions
• Support UAT, release planning, and post-implementation reviews
• Identify dependencies, risks, and mitigation strategies throughout the delivery lifecycle
• Drive continuous improvement of product processes and data quality

Product Owner

Data Engineer

• Use Agile practices to elicit and refine requirements through an iterative process of planning, defining acceptance criteria, prioritizing, developing and delivering enterprise data asset solutions in collaboration with business intelligence teams or other IT teams
• Develop, configure, customize and manage integration tools, databases, warehouses and analytical systems with the use of data related software
• Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files
• Develop and deploy structured, semi-structured, and unstructured data storage models such as data vault or dimensional modeling on a various platforms to meet business requirements
• Coordinate security, application monitoring, development tooling, and related capabilities with responsible teams
• Provide operational support and incident management for data pipelines and data flows, including proactively updating internal clients and relevant parties on status changes and issues encountered
• Author and maintain accurate and up-to-date documentation for processes, procedures, and technical designs
• Coach junior data and business intelligence personnel across the company, including developing material and guiding junior personnel on their technical skill growth

Senior Data Engineer

• Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.
• Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.
• Define and track key product success metrics and adoption KPIs.
• Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.
• Act as the primary liaison between business stakeholders and data engineering/analytics teams.
• Gather and translate business requirements into actionable data product specifications.
• Facilitate cross-functional collaboration to resolve trade-offs and dependencies.
• Ensure data products comply with regulatory, security, and privacy requirements.
• Define and enforce data quality standards, lineage, and observability metrics.
• Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.
• Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).
• Collaborate with data engineering teams on architecture, modeling, and platform decisions.
• Evaluate emerging technologies and recommend innovations to improve data products and processes.
• Drive delivery of data products using agile methodologies.
• Prioritize backlog, manage sprints, and ensure timely delivery of features.
• Monitor and measure product performance, adoption, and business impact.
• Contribute to the overall data product management framework and best practices within the bank.
• Promote a culture of data-driven decision-making and product-centric thinking.

Data Product Manager

• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.

AWS Data Engineer

• Build and maintain the data systems
• Convert raw data into usable information for analytics and business decision-making
• Analyze and organize raw data
• Develop and maintain datasets
• Improve data quality and efficiency
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

• Lead the design, development, and deployment of large-scale data pipelines and solutions on AWS.
• Provide technical leadership and mentorship to a team of data engineers, ensuring best practices in coding, architecture, and performance optimization.
• Architect data lake and data warehouse solutions leveraging AWS Glue, Redshift, S3, Athena, EMR, and Lambda.
• Drive development of ETL/ELT processes using PySpark, Python, and SQL.
• Implement and enforce data governance, quality checks, and security standards across the platform.
• Collaborate with business analysts, data scientists, and product teams to translate business requirements into scalable solutions.
• Optimize cost and performance of AWS-based data workloads.
• Troubleshoot production issues and ensure high availability of data pipelines.
• Participate in sprint planning, backlog refinement, and Agile ceremonies as a technical lead.

Tech Lead

Technical Product Manager

• Define and prioritize product backlog aligned with business objectives and technical feasibility.
• Collaborate with engineering teams to translate business requirements into technical specifications.
• Own end-to-end product lifecycle: ideation, development, testing, deployment, and maintenance.
• Ensure compliance with financial regulations and security standards.
• Conduct stakeholder meetings to gather requirements and communicate progress.
• Drive API integration and backend system enhancements for financial platforms.
• Monitor KPIs and product performance to inform future roadmap decisions.