Job Summary: 

• Develop, test and support future-ready data solutions for customers across industry verticals
• Develop, test and support SQL scripts which include DDL, DML and procedures
• Understand data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance and information management and associated technologies
• Develop and demonstrate Proof of Concepts and Working Demos
• Support and collaborate with other internal/external consultants in consulting, workshops and delivery engagements
• Mentor junior IBM consultants in the practice and delivery engagements
• Optimization, support and maintenance of the data warehouse environment
• Report to the Technology team lead and keep management abreast of the status and progress of in-flight issues
• Ensure due diligence has been carried out on all software changes, paying particular attention to detail on unit, component and systems integration testing
• Package up artifacts using industry-standard tools such as Subversion, SDA & TeamCity
• Work with BAU teams to ensure project changes are released to live in a co-ordinated manner Design and develop warehouse enhancements

Skills on Resume: 

• Data Development (Hard Skills)
• SQL Scripting (Hard Skills)
• Data Architecture (Hard Skills)
• Proof of Concept (Hard Skills)
• Mentoring (Soft Skills)
• Warehouse Optimization (Hard Skills)
• Change Management (Hard Skills)
• Project Coordination (Soft Skills)

Job Summary: 

• Build, monitor and troubleshoot Extract, Transform and Load nightly jobs
• Curate, analyze and develop new attributes and metrics from disparate data sources and integrate with existing data warehouse
• Create automated reporting using tools such as MicroStrategy, Microsoft Reporting Services, Tableau
• Answer and resolve on-demand business inquiries and analysis
• Analyze and track data trends while gathering data via SQL or OLAP Cube
• Discover and recommend business opportunities through data analysis
• Provide timely status updates on projects and initiatives
• Gather data and documentation to support optimization and company vision
• Completes post-mortem analysis to highlight areas of opportunities and planning adjustments
• Help develop and implement ETL routines according to the data warehouse design and architecture
• Supervise design throughout the implementation process

Skills on Resume: 

• ETL Development (Hard Skills)
• Data Curation (Hard Skills)
• Automated Reporting (Hard Skills)
• Business Analysis (Soft Skills)
• Trend Analysis (Hard Skills)
• Opportunity Identification (Soft Skills)
• Status Reporting (Soft Skills)
• Implementation Supervision (Soft Skills)

Job Summary: 

• Plan, create, coordinate, and deploy data warehouses and data marts
• Design and build the semantic layer to access the data warehouses and data marts
• Develop data architecture and data modeling within a structured data warehouse environment
• Facilitate requirements gathering using expert listening skills and develop unique simple solutions to meet the immediate and long-term needs of business customers.
• Create best practices for data loading and extraction
• Work with Product Managers and Product Owners in understanding the requirements to develop product
• Responsible for the product design, development, testing and optimizing the performance
• Guide other team members to understand product vision, break out tasks and help them solve blocks and issues
• Troubleshooting product bugs and performing permanent fixes and improving the reliability and quality
• Develop required test cases and test scripts and analyze and review test results with Product Owners
• Perform data cleanup to remove unnecessary data that’s just taking up space.

Skills on Resume: 

• Data Warehouse Deployment (Hard Skills)
• Semantic Layer Design (Hard Skills)
• Data Architecture (Hard Skills)
• Requirements Gathering (Soft Skills)
• Data Loading Best Practices (Hard Skills)
• Product Development (Hard Skills)
• Team Guidance (Soft Skills)
• Data Cleanup (Hard Skills)

Job Summary: 

• Participate in requirements analysis architectural and detail design coding implementation testing and maintenance for highly integrated complex information systems
• Collaborate with business owners and other developers on various software implementation tasks
• Identify resolve or escalate systems software and hardware issues and work with the vendor’s support team to resolve issues
• Lead planning and scheduling of project tasks using agile methodology
• Lead project deployment-related activities
• Resolve technical issues and monitor progress against schedule, produce appropriate specifications and support documentation for applications in development
• Manage all warehouse data, design architecture, and prepare appropriate documents to develop a schema data model.
• Coordinate with business users and prepare documents to plan and control various volumes of data.
• Maintain data warehouse systems and provide production support.
• Evaluate all data and perform various tests on the data warehouse and ensure effective implementation.
• Administer all data and ensure compliance with standards and policies. 
• Maintain high quality of all deliverables and provide efficient guidance to all database architecture.

Skills on Resume: 

• Requirements Analysis (Soft Skills)
• Software Collaboration (Soft Skills)
• Issue Resolution (Soft Skills)
• Agile Planning (Soft Skills)
• Project Deployment (Hard Skills)
• Data Architecture (Hard Skills)
• Data Warehouse Maintenance (Hard Skills)
• Compliance Administration (Hard Skills)

Job Summary: 

• Design and implement product cloud data warehouse schema for multiple stages of data.
• Build a clean, reliable, and scalable “single-source-of-truth” cloud data store.
• Work closely with data engineers and analytics engineers to build cloud data infrastructure to support business intelligence needs.
• Design and develop systems for the maintenance of the business’s data warehouse.
• Quickly and thoroughly analyze reporting and analysis requirements and translate the results into good technical data designs.
• Consistently give technical proposals to optimize data warehouse capacity, scalability, and performance.
• Establish the documentation of reports, and develop and maintain technical specification documentation for all reports and processes.
• Design and develop systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.
• Develop and maintain technical specification documentation for all reports and processes.
• Provide technical expertise to clients on business intelligence data architecture and on structured approaches for transitioning manual applications and reports to the client's businesses.
• Monitors and troubleshoots performance issues on data warehouse servers and assists in the development of business intelligence, business data standards, and processes.

Skills on Resume: 

• Data Warehouse Design (Hard Skills)
• Cloud Data Store Development (Hard Skills)
• Cloud Infrastructure Collaboration (Soft Skills)
• Data Maintenance Systems (Hard Skills)
• Requirements Analysis (Soft Skills)
• Performance Optimization (Hard Skills)
• Technical Documentation (Hard Skills)
• Business Intelligence Expertise (Soft Skills)

Job Summary: 

• Understand the client’s business, follow sector trends, and learn leading practices
• Select appropriate methods for collecting and analyzing data, and develop informed recommendations that shape or support the client’s business strategy
• Design overall data integration flow, data models (MDM, DWH/Reporting) from data sources into the data platform
• Design and develop ETL/ELT processes that move, integrate, transform and manage data.
• Design and develop BI dashboards and automate reporting tools
• Document solution architecture and design and required governance & build data integration services catalog
• Manage own work against the project plan to ensure a superior client experience
• Team with others to produce a high-quality work product to ensure a superior client experience
• Maintain a positive, professional attitude and adapt to changing priorities to instill confidence in the team
• Value and consider the diverse perspectives and backgrounds of colleagues and clients
• Use and apply frameworks to organize concepts, identify gaps, and communicate ideas clearly

Skills on Resume: 

• Business Understanding (Soft Skills)
• Data Analysis Methods (Hard Skills)
• Data Integration Design (Hard Skills)
• ETL/ELT Development (Hard Skills)
• BI Dashboard Development (Hard Skills)
• Solution Documentation (Hard Skills)
• Project Management (Soft Skills)
• Communication Frameworks (Soft Skills)

Job Summary: 

• Design analytic solutions for business users that provide the data needed to operate the business
• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for analytics platform
• Implement data ingestion routines both real-time and batch using best practices in data modeling, ETL/ELT processes
• Participate in technical decisions and collaborate with talented peers
• Review code, and implementations and give meaningful feedback that helps others build better solutions
• Write documentation on design, architecture and solutions
• Guide clients in identifying any new data needs and deliver mechanisms for acquiring and reporting such information as well as addressing the actual needs.
• Partner with the senior management and senior engineering in an attempt to refine the business’s data requirements
• Monitor data warehouse work and provide subject matter expertise
• Work across various international clients, from different countries, and industries, and participate in the entire BI lifecycle, focusing on reporting, data migration and dashboards.
• Work cross-functionally across the project in an Agile methodology to complete user stories within the assigned sprint.

Skills on Resume: 

• Analytic Solution Design (Hard Skills)
• Data Structure Development (Hard Skills)
• Data Ingestion Implementation (Hard Skills)
• Technical Collaboration (Soft Skills)
• Code Review (Soft Skills)
• Documentation Writing (Hard Skills)
• Client Guidance (Soft Skills)
• Agile Methodology (Soft Skills)

Job Summary: 

• Creating star schema data models, performing ETLs and validating results with business representatives
• Manage data for BI solutions and automate data collection and management
• Builds SQL ETL routines to move, cleanse and prepare data for reporting
• Design and develop databases and perform data extraction
• Analyze existing SQL queries for performance improvements.
• Develop, implement and optimize stored procedures and functions using SQL
• Review and interpret ongoing business report requirements
• Assemble reporting insights and develop executive summaries and trend reports
• Spot trends and data anomalies
• Provide insights and suggested ways to improve performance
• Develop forecasts and suggest testing strategies.

Skills on Resume: 

• Star Schema Modeling (Hard Skills)
• Data Management Automation (Hard Skills)
• SQL ETL Development (Hard Skills)
• Database Design (Hard Skills)
• SQL Query Analysis (Hard Skills)
• Stored Procedure Optimization (Hard Skills)
• Reporting Insights (Soft Skills)
• Trend Analysis (Soft Skills)

Job Summary: 

• Help build and maintain an enterprise data warehouse platform with its associated data models and ETL processes
• Responsible for designing, building, and maintaining robust data models
• Implement best practices and innovative solutions to provide timely, accurate, & reliable data
• Help in the implementation of a high-performing data warehouse platform servicing thousands of users and a broad set of use cases
• Build cross-functional relationships with data analytic teams and business leaders to understand their requirements and data needs
• Constantly evaluate and optimize the deployment of data models to achieve greater efficiency and reliability
• Design and develop robust and feature-rich data system for further data analysis
• Monitor, debug, troubleshoot and upgrade existing DWH data entities and pipelines
• Collaboration across organizations to ensure that the DWH system is created according to the master roadmap and business teams' requests
• Interact with software engineers, DevOps engineers, and business analytics in regular DWH construction processes
• Provision of detailed DWH process documentation

Skills on Resume: 

• Warehouse Development (Hard Skills)
• Model Design (Hard Skills)
• Data Best Practices (Hard Skills)
• Collaboration (Soft Skills)
• Model Optimization (Hard Skills)
• System Development (Hard Skills)
• Troubleshooting (Hard Skills)
• Documentation (Hard Skills)

Job Summary: 

• Support for daily business activities to ensure all systems meet the business/client requirements.
• Design and implement end-to-end BI solutions such as data modeling, data loading and data governance
• Integrate up-and-coming data management and software engineering technologies into existing data structures as a part of innovation.
• Implement/Support of Agile-Scrum methodologies.
• Support/enhance the overall improvement of existing DWH&BI products.
• Improve documentation, quality, testing and operational standards
• Development of data warehouse and analytics projects - starting with the technical conception through implementation and testing to operation (Dev / Ops)
• Development of innovative customer data solutions for digital insurance  
• Construction of data models and loading routes (ETL)
• Professional and technical analysis of structured and unstructured data
• Collaborate with data engineers and work towards Data Warehouse migration to the cloud.

Skills on Resume: 

• Business Support (Soft Skills)
• BI Solution Design (Hard Skills)
• Data Integration (Hard Skills)
• Agile Support (Soft Skills)
• DWH Improvement (Hard Skills)
• Documentation Improvement (Hard Skills)
• Data Development (Hard Skills)
• Collaboration (Soft Skills)

Job Summary: 

• Assess business rules, perform source-to-target data mapping, and design, review, implement, and optimize ETL processes.
• Review project plans, develop and test specifications, and perform data analysis.
• Provide development support for existing systems, troubleshoot data and/or system issues, and build and extend toolsets.
• Create and/or maintain batch jobs.
• Create and maintain online systems and printed documentation.
• Provide data analysis and identify data-related issues within the Data Warehouse environment, as well as source systems
• Provide quality service satisfaction by possessing strong customer service skills.
• Create and maintain the logical and physical dimensional data models.
• Work within an agile development methodology.
• Prepare various code designs and ensure efficient implementation of the same
• Evaluate all codes and ensure the quality of all project deliverables

Skills on Resume: 

• Data Mapping (Hard Skills)
• Project Specification Review (Hard Skills)
• Development Support (Soft Skills)
• Batch Job Maintenance (Hard Skills)
• Documentation Management (Hard Skills)
• Data Analysis (Hard Skills)
• Customer Service (Soft Skills)
• Dimensional Modeling (Hard Skills)

Job Summary: 

• Develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.
• Provide day-to-day support for the data warehouse and troubleshoot existing procedures and processes.
• Define and promote best practices and design principles for data warehousing techniques and architecture.
• Work with IT and other business partners to identify requirements and design enhancements to data warehouse infrastructure.
• Process and clean data from structured and unstructured sources.
• Create and manage internal and customer-facing dashboards and reports.
• Limited management responsibilities and customer interactions.
• Develop and prepare a schedule for a new data warehouse
• Analyze large databases and recommend appropriate optimization for the same
• Administer all requirements and design various functional specifications for data
• Provide support to the Software Development Life cycle

Skills on Resume: 

• Data Warehouse Maintenance (Hard Skills)
• Day-to-Day Support (Soft Skills)
• Best Practices Definition (Hard Skills)
• Requirement Identification (Soft Skills)
• Data Processing (Hard Skills)
• Dashboard Management (Hard Skills)
• Scheduling (Soft Skills)
• Database Analysis (Hard Skills)

Job Summary: 

• Building data pipelines from several business applications
• Collaborate with business stakeholders to identify and meet data requirements.
• Use design patterns and adherence to code quality metrics
• Uses software code management tools and processes to ensure code traceability and good governance.
• Conducts code reviews with other team members (either internal or external service providers)
• Makes continuous improvement to coding and test practices across applications
• Works in DevOps team which uses continuous development, integration and testing with automated releases to lower and higher environments with application monitoring plus supporting the product
• Performing root cause analysis on all data and processes to answer specific questions and identify opportunities for improvement.
• Participates in recommending emerging technologies and application solutions
• Support the development and validation required through the lifecycle of the data warehouse and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse
• Monitor the data warehouse and BI systems performance and integrity and provide corrective and preventative maintenance

Skills on Resume: 

• Data Pipeline Building (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Code Quality Metrics (Hard Skills)
• Code Governance (Hard Skills)
• Code Review (Soft Skills)
• Continuous Improvement (Soft Skills)
• DevOps Practices (Hard Skills)
• Root Cause Analysis (Hard Skills)

Job Summary: 

• Technical analysis of BI/DW Problems and builds a strong platform for Data Analytics using ML/AI capabilities.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Participates in requirements and solution design activities with customers, coordinates test case development, user acceptance testing and business approvals for the development lifecycle
• Based on data findings and trends, make recommendations for improvements, standardization, consolidation of reports to common layouts for supportability/usability, and determine ways to optimize information generation and distribution
• Prioritize and track application or report enhancement requests with the business globally
• Development of validation programs to ensure that data quality control standards are achieved. 
• Performs data integrity checks, reports anomalies, and communicates findings with support teams for resolution

Skills on Resume: 

• Technical Analysis (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Data Mining (Hard Skills)
• Source Assessment (Hard Skills)
• Predictive Modeling (Hard Skills)
• Performance Monitoring (Hard Skills)
• Recommendations Development (Soft Skills)
• Data Quality Control (Hard Skills)