For the given job description <<As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. The job requires expertise in Databricks, a cloud-based data engineering platform.
Key responsibilities:Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success.Architect production-level workloads, including end-to-end pipeline load performance testing and optimization.Deliver tutorials and training to drive community adoption (including hackathons, conference presentations, etc.)Work closely with Engineering and Product Management to drive the direction of the Databricks product.Contribute to Databricks SME community. Required SkillsHands-on and technical expertise with Apache SparkProven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP5+ years Experience working as either: Software EngineerData Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark andor other big data solutions.Comfortable programming in Python, Scala, or JavaExperience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCPExperience with Development Tools for CICD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces. E.g. Jenkins.Excellent communication skills and comfortable presenting to strategic stakeholdersleadership.Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.Passionate about learning new technologies and making customers successfulData ScienceML Engineer experience in model selection, model lifecycle, hyper-parameter tuning, model serving, and deep learning, using tools like MLFlow desired.
 Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare, including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily-building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized backup childelder care and tutoringMentoring, coaching, and learning programsEmployee Resource GroupsDisaster Relief>> the resume: <<Career OverviewExperienced Data Analyst with extensive
skill in Data Modelling, Analysis, and Reporting using SSMS, SSRS, Crystal

Reports,
and CRM applications. Detail-oriented professional with proficient technical
documentation, and project management skills.
Work ExperienceData Operations Analyst,10/2015to08/2016Addepar–New York,NY,Contributed to the Development and Maintenance of data quality standards on Millennium a CRM application.Designed Excel Applications for automated processes using Excel Macro and Visual Basic Editor to analyze, evaluate processes, and improve divisional efficiency.Provided technical documentation for organizational reports and project designs.Delivered self-service reports through SSRS.Designed forms and edited reports using Crystal Reports.Generated the Fiscal Year Reports for the Annual Funds division by sorting, using aggregate functions, Pivot table and VLOOKUP formula in Excel.Data Analyst (Contract),2015to04/2015Saic–Cape Canaveral,FL,Committed to multiple projects and tasks during Scrum meetings, and decreased 40% of team's workload.Designed business rules for incoming vendor's files to designated folders.Analyzed, and validated Data using SSMS. Designed projects, Test Cases, tracked and conducted UAT.Produced internal and regulatory reports on regular or adhoc basis on SharePoint.Technical Support,2013to10/2014Lockheed Martin Corporation–Vandenberg Air Force Base,CA,Report, track and fix defects on existing PC and Internet connections.Recommending the right Operating System, Hard Drives and Disk for compatible assembly and installation.Provide technical assistance with several computer assembly.Managed and assembled the Internet connections through the gateway router to multiple PC both wireless and cabled connection.Data Analyst,2009to03/2013MYA-Sales–City,STATE,Forecast future of business sales by querying and analyzing data for the past and present business activities. Reported analytical information for business intelligence that highly impact business decisions.Analyzed daily transactions, using financial functions, Pivot Table, Charts, and VLOOKUP with Microsoft Excel.Designed
relational database for enforcing data integrity, and tracking inventory with Microsoft Access.Managed storage for user and systems databases, including database files.
Education and TrainingBBA:Management Information System,Expected in2014toUniversity of Central Oklahoma-Edmond,OKGPA:Certification:Business Analyst,Expected in2015toQ Tech Solutions-,New JerseyGPA:
Additional SkillsProficient Technical Documentation skillsAdapts fast to Business RulesAbility to read and Design Charts and Diagrams (UML, DFD, ERD)Great Team Player and also ability to work independently>>. The result is, Potential Fit

Fit assessment: Potential Fit