Sr. Cloud Data Engineer

Job Description

Sr. Cloud Data Engineer Job DescriptionCloud Data Engineers will be responsible for architecting transformation and modernization of enterprise data solutions on Cloud Platforms integrating Azure services and 3rd party data technologies. Cloud Analytic Data Engineer will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Kimberly-Clark to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data modeling, reporting, and data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. If you are an agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights that helps enable our Consumer First strategy then we would like to hear from you.Role & ResponsibilitiesDesign, develop, optimize, and maintain Cloud Data Platform pipelines that adhere to ETL principles and business goalsUtilize conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data to solve complex data problemsWork with business/application/solution teams to implement data strategies, build data flows, & develop conceptual/logical/physical data modelsDevelop, and maintain conceptual, logical, and physical data models, implement of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms in cloudWork with the database engineering and DBAs to create optimal physical data models (transactions, normalized and dimensional models; etc.,)Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data modelsHands-on experience modeling, design, configuration, installation, performance tuning, and setting up sandbox for POCLead/Partner with business analyst and solutions architects to conduct detailed technical assessments of enterprise data architecture, define path to transform it into a modern data powered enterprise for strategic enterprise projects and initiativesLead/Partner with different teams and provide deep technical expertise to evaluate, implement & deploy emerging tools and large scale data solutions for data engineering to improve productivity as a teamConduct full technical discovery, identifying pain points, business and technical requirements, as is and to be scenariosCompare solution alternatives across both technical and business parameters which support the define cost and service requirementsCreate detailed target state technical, security, data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value propositionLead scoping sessions to generate estimates and approaches for executionSolve complex data problems to deliver insights that helps our business to achieve their goalsCreate data products for analytics and data scientist team members to improve their productivityStay educated on new and emerging technologies/patterns/methodologies and market offerings/Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematicsDevelop and deliver communication & education plans on analytic data engineering capabilities, standardsBasic QualificationsBachelor s degree10 years of IT experience and equivalent blend of education and experienceMinimum 7 years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders7 years of data engineering or architecture experience, architecting, developing, and deploying scalable enterprise data analytics solutionsMinimum 7 year of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of cloud data and analytics services in combination with 3rd partiesHands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on cloudExperience designing and building production data pipelines from ingestion to consumption within a hybrid big data architectureExperience designing and implementing data engineering, ingestion and curation functions on cloud using native or custom programmingHands-on experience designing and implementing data ingestion solutions on cloudHands-on experience architecting and designing data lakes on cloud serving analytics and BI application integrationsExperience design/development of Large Data Warehouse and/or Database Management SystemsExpertise in data modeling principles/methods including, Conceptual, Logical & Physical Data ModelsDemonstrated experience modeling high performance multi-dimensional Data Marts and Reporting structures including OLAP cubes7 years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)7 years of experience with database development (SQL, PL/SQL) and scriptingTechnical SkillsExperience with developing solutions on cloud computing services and infrastructure in the data and analytics space (Azure or GCP)Experience with tools like Azure Data Factory, Databricks, Integration Runtime ServicesExperience in Python or ScalaExpert in T-SQLBig Data development experience using Kafka . Azure EventHub, IoT HubFamiliarity with the Linux operating systemMinimum 7 years of experience integrating cloud data services for building secure data solutionsMinimum 7 years of experience introducing and operationalizing self-service data preparation tools (e.g. Collibra, Alation, Babylon)Minimum 7 years of architecting and operating large production SAP/NoSQL clusters on premise or using Cloud servicesMinimum 1 years architecting and implementing metadata on cloudArchitecting and implementing data governance and security for data platforms on cloudDesigning operations architecture and conducting performance engineering for large scale data lakes a production environmentCraft and lead client design workshops and provide tradeoffs and recommendations towards building a solutionsBachelors degree in Computer Science, Engineering, Technical Science or 5 years of architecture and build experience with large scale solutionsCloud Certified Professional Data EngineerProfessional Skill RequirementsStrong leadership and management skillsStrong communication and interpersonal skillsStrong analytical and problem-solving skills and passion for product developmentStrong understanding of Agile methodologies and open to working in agile environments with multiple stakeholdersProfessional attitude and service orientation; team playerAbility to translate business needs into potential analytics solutionStrong work ethic; ability to work at an abstract level and gain consensusAbility to build a sense of trust & rapport to create a comfortable & effective workplace,

Keyskills :
sqljavadata warehousinginformaticapythonbig datadata martsdata modelsdata sciencemusic makingdata modelingdata servicesdata analytics