Job Summary:

• Performing presentations, and demos, preparing business cases, RFP responses, proposals, and architectural designs for direct and channel sales.
• Performing Business and Technical Analysis corresponding to Big Data domains.
• Collaborate with multiple business functions to understand business processes, functions and capabilities.
• Ensure common understanding and quality of deliverables by consultation and review.
• Assist the business stakeholders in prioritization and phasing of requirements Liaison between business and technical departments.
• Play a pivotal role as specialist/solution architect while developing in-depth knowledge & insights to customers of all products and solutions.
• Continuously review experience, capture the learning points and make recommendations for process improvement.
• Supporting mainly sales funnel.
• Understanding Big Data, Analytics, Reporting and Data Science Practices.
• Provide deep technical expertise on data platform infrastructure, data standardization, quality, accessibility as well as Big Data technologies
• Design and deliver high-quality solutions including sample code and solve complex technical challenges

Skills on Resume: 

• Presentation Skills (Soft Skills)
• Business Case Preparation (Hard Skills)
• Proposal Writing (Hard Skills)
• Architectural Design (Hard Skills)
• Business and Technical Analysis (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Solution Architecting (Hard Skills)
• Continuous Improvement (Soft Skills)

Job Summary:

• Responsible for design and development of Big Data analytical applications and continuously enhance the project codebase
• Needs to have strong Big Data and Spark Optimization knowledge
• Help build high-performance and flexible streaming pipelines that can rapidly evolve to handle new technologies, techniques, and modeling approaches
• Research and evaluate current and upcoming technologies and frameworks.
• Buildout of data ingestion framework/pipelines and troubleshoot complex issues in a distributed platform
• Write complex ETL processes and frameworks using cloud-native services like Azure Data Factory, Azure Functions, Azure batch
• Implement large-scale near real-time streaming data processing pipelines
• Identify and assist in implementation of automation for the validation and approval of design specifications.
• Work with infrastructure engineers to ensure smooth deployments and sustainable performance for the platform.
• Design, standardization, integration and build of data elements within the strategic data plan working both independently and with development and operations service providers
• Implement quality control process to ensure that data is of the highest quality

Skills on Resume: 

• Big Data Analytics (Hard Skills)
• Spark Optimization (Hard Skills)
• Streaming Pipelines (Hard Skills)
• Technology Evaluation (Hard Skills)
• Data Ingestion Frameworks (Hard Skills)
• Cloud Native Services (Hard Skills)
• Real-time Data Processing (Hard Skills)
• Automation and Quality Control (Hard Skills)

Job Summary:

• Utilize tools and methods to extract, link, and manipulate large data sources
• Utilize tools and methods to ensure the accuracy and integrity of enterprise data
• Collaborate with various business and IT stakeholders to report data quality issues, make remediation recommendations
• Provide communication the status of enterprise data to data users Collaborate with business teams on defining and documenting data across the enterprise
• Develop and monitor compliance of Data Governance standards and policies
• Partner with IT and business teams to create and maintain master data Participate in the routine reporting of data quality metrics to business users as well as upper management. 
• Execute key data governance processes dash intake demand and prioritization process, issue management process, and monitoring process
• Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations to different levels of key business and technical stakeholders
• Architect scalable and secure big data solutions to provide visibility and decision support to business end users
• Ensure data solutions are built for performance, fault tolerance and security with reusable patterns

Skills on Resume:

• Data Extraction and Manipulation (Hard Skills)
• Data Accuracy and Integrity (Hard Skills)
• Data Quality Reporting (Hard Skills)
• Data Governance (Hard Skills)
• Collaboration and Communication (Soft Skills)
• Master Data Management (Hard Skills)
• Reporting and Metrics (Hard Skills)
• Solution Architecture (Hard Skills) 

Job Summary:

• Define technology capabilities required to develop scalable applications for data science and data platform goals
• Design integration patterns with data source platforms
• Identify and enable data science capabilities across the enterprise
• Promote best practices, guide the team to follow them, and collect and incorporate feedback based on team experiences to improve practices
• Design data schemas and processes to transform and analyze data streams
• Partner with business and technology to deliver road maps
• Work with a team to build a holistic view of the organization's data strategy, processes, information, and information technology assets
• Define best practices and internal guidelines
• Research new technologies and use cases
• Design and architect scalable solutions for IoT data processing and data storage

Skills on Resume: 

• Integration Pattern Design (Hard Skills)
• Data Science Enablement (Hard Skills)
• Promotion of Best Practices (Soft Skills)
• Data Schema Design (Hard Skills)
• Business and Technology Partnership (Soft Skills)
• Holistic Data Strategy Development (Soft Skills)
• Research and Innovation (Hard Skills)

Job Summary:

• Use big data technologies to design, and develop distributed, fault-tolerant scalable solutions.
• Participate in discussions with customers to understand the requirements and provide support in defining the scoping / sizing the work.
• Translate the business requirements into technology requirements.
• Collaborate with the internal architect community and ensure organizational best architectural practices are followed.
• Monitor the system performance on a regular basis and tune the system accordingly to ensure the best performance.
• Support the migration of data from legacy systems to new systems.
• Stay current on latest technology, build PoCs, to evolve the design architecture to benefit from the latest technology.
• Provide technical guidance to development teams.
• Support development of systems specifications, input/output processes, and working parameters
• Support evaluation, design, and implementation of effective data architecture

Skills on Resume: 

• Proficiency in Big Data Technologies (Hard Skills)
• Requirement Analysis (Soft Skills)
• Architectural Expertise (Hard Skills)
• Performance Monitoring (Hard Skills)
• Data Migration and Integration (Hard Skills)
• Continuous Learning (Soft Skills)
• Technical Leadership (Soft Skills)
• Data Architecture Design (Hard Skills)

Job Summary:

• Develop data pipelines using Big Data technologies that leverage value to the customer
• Understand customer use cases and workflows and translate them into engineering deliverables
• Actively participate in scrum calls, story points, and estimates and own the development piece
• Analyze the user stories, understand the requirements and develop the code as per the design
• Develop test cases, perform unit testing and integration testing
• Support QA Testing, UAT and production deployment
• Develop batch and real-time data load jobs from a broad variety of data sources into Hadoop
• Design ETL jobs to read data from Hadoop and pass to variety of consumers / downstream applications
• Perform analysis of vast data stores and uncover insights
• Analyze the long-running queries and jobs, performance tune them by using query optimization techniques and Spark code optimization

Skills on Resume: 

• Proficiency in Big Data Technologies (Hard Skills)
• Understanding of Customer Needs (Soft Skills)
• Agile Methodologies (Soft Skills)
• Software Development (Hard Skills)
• Quality Assurance (Hard Skills)
• Operations Support (Hard Skills)
• Data Integration and ETL (Hard Skills)
• Performance Optimization (Hard Skills)

Job Summary:

• Look into new technologies that may optimize or provide better service in data management, data retrieval, and backups
• Lead the identification and production resolution as well as application development problems by determining optimum values for parameters
• Integrating services, and installing new releases
• Spearheaded and drive strategies with regard to data governance and data management (enterprise) across the organization.
• Perform audits on database performance Audit database performance
• Maintain and optimize the enterprise storage and the relevant components to accommodate existing and future needs.
• Be the key person to craft the roadmap, blueprint, and design for the organization and clients in order
• Consolidate varying data models in varying data/business intelligence/artificial intelligence projects
• Propose the best practice with regard to Cloud subscription be it AWS, Azure, or GCP
• Lead the data lifecycle management activities and data dictionary definitions, relationship, metadata, dimensioning of big data servers/technologies and governance practices
• Ensure consistency/quality/availability between all data-related activities.
• Work cross-functionally with the development and data team to overs

Skills on Resume: 

• Technological Awareness (Hard Skills)
• Problem-Solving (Hard Skills)
• Integration and Installation (Hard Skills)
• Strategic Leadership (Soft Skills)
• Performance Auditing (Hard Skills)
• Storage Optimization (Hard Skills)
• Roadmap Development (Soft Skills)
• Data Model Consolidation (Hard Skills)

Job Summary:

• Work with executive leadership/product stakeholders in order to understand client needs, industry trends,
• Assist in the design of operational and strategic solutions
• Help with the development process and take the lead on data analytics-focused initiatives.
• Thought leadership in order to help devise product features 
• Addressing the gaps and recommending the right tools/technologies.
• Lead & build analytic platforms for proprietary product lines spanning across multiple domains (Financial & Healthcare Preferred).
• Create/propose correct marketing mix recommendations for the stakeholders.
• Manage and Lead analytic resources to comply to release timelines and budgets for products.
• Execute the plans and life cycle management
• Able to constantly be innovating, identifying and developing PoVs based on industry standards to drive improvements in product features
• Perform tasks to implement the system interface to access, retrieve, and process to the data analytics platform
• Support evaluation of best methods, tools and interfaces to prepare data and make it available to data scientists for analysis

Skills on Resume: 

• Strategic Thinking and Analysis (Soft Skills)
• Data Analytics (Hard Skills)
• Thought Leadership (Soft Skills)
• Technology Proficiency (Hard Skills)
• Platform Development  (Hard Skills)
• Marketing Strategy Development (Soft Skills)
• Team Leadership (Soft Skills)
• Continuous Improvement (Soft Skills)