03 Jul
Cloud Data Engineer
Texas, Dallas / fort worth , 75342 Dallas / fort worth USA

VDart – We are a Global Information Technology Services & Workforce Solutions firm headquartered out of Atlanta, GA with presence in US, Canada, MX, UK, Belgium, Japan & India. Founded in 2007, Our team of over 2550+ professionals continually create impact for our customers worldwide in solving complex technology challenges with cutting edge technologies. We specialize in providing the Fortune 1000 companies, niche hard to find skills in technologies including Social, Mobile, Big Data Analytics, Data Sciences, Cyber Security, IoT, Cloud, Machine Learning, and Artificial Intelligence. With delivery centers in the UK, Mexico, Canada, and India, we provide global workforce solutions to our customers covering EMEA, APAC & Americas. VDart is an award-winning organization recognized by Inc 5000 Hall of Fame; Atlanta Business Chronicles Fastest Growing Companies; NMSDCs National Supplier of the Year; Ernst & Youngs Regional Entrepreneur of the Year and more. Cloud Data Engineer Location: Atlanta, GA/Dallas, TX Type: Contract To Hire Job Description Cloud 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 analysis, 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 & Responsibilities

  • Design, develop, optimize, and maintain Cloud Data Platform pipelines that adhere to ETL principles and business goals
  • Utilize 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 problems
  • Work with business/application/solution teams to implement data strategies, build data flows, & develop conceptual/logical/physical data models
  • Develop, and maintain conceptual, logical, and physical data models, implement of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms in cloud
  • Work 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 models
  • Hands-on experience modeling, design, configuration, installation, performance tuning, and setting up sandbox for POC
  • Lead/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 initiatives
  • Lead/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 team
  • Conduct full technical discovery, identifying pain points, business and technical requirements, "as is" and "to be" scenarios
  • Compare solution alternatives across both technical and business parameters which support the define cost and service requirements
  • Create detailed target state technical, security, data and operational architecture and design blueprints incorporating modern data technologies and cloud data services demonstrating modernization value proposition
  • Lead scoping sessions to generate estimates and approaches for execution
  • Solve complex data problems to deliver insights that helps our business to achieve their goals
  • Create data products for analytics and data scientist team members to improve their productivity
  • Stay 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 mathematics
  • Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Basic Qualifications
  • Bachelor's degree
  • Minimum 4+ 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 stakeholders
  • 5+ years of data engineering or architecture experience, architecting, developing, and deploying scalable enterprise data analytics solutions
  • 10+ years of IT experience and equivalent blend of education and experience
  • Minimum 1+ 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 parties
  • Minimum 1+ year of hands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on cloud
  • Minimum 1+ year of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture
  • Minimum 1+ year of designing and implementing data engineering, ingestion and curation functions on cloud using native or custom programming
  • 2+ years of hands-on experience designing and implementing data ingestion solutions on cloud
  • 2+ years of hands-on experience architecting and designing data lakes on cloud serving analytics and BI application integrations
  • 5+ years of experience design/development of Large Data Warehouse and/or Database Management Systems
  • Expertise in data modeling principles/methods including, Conceptual, Logical & Physical Data Models
  • Demonstrated experience modeling high performance multi-dimensional Data Marts and Reporting structures including OLAP cubes
  • 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
  • 5+ years of experience with database development (SQL, PL/SQL) and scripting
  • 5+ years of experience with Data Lineage, Metadata Management and Data Profiling processes and tools
  • Technical Skills
  • Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space (Azure or Google Cloud Platform)
  • Experience with tools like Azure Data Factory, Databricks, Integration Runtime Services
  • Experience in Python or Scala
  • Expert in T-SQL
  • Big Data development experience using Kafka . Azure EventHub, IoT Hub
  • Familiarity with the Linux operating system
  • Minimum 1+ years of experience integrating cloud data services for building secure data solutions
  • Minimum 1+ years of experience introducing and operationalizing self-service data preparation tools (e.g. Collibra, Alation, Babylon)
  • Minimum 2+ years of architecting and operating large production SAP/NoSQL clusters on premise or using Cloud services
  • Minimum 1+ years architecting and implementing metadata on cloud
  • Architecting and implementing data governance and security for data platforms on cloud
  • Designing operations architecture and conducting performance engineering for large scale data lakes a production environment
  • Craft and lead client design workshops and provide tradeoffs and recommendations towards building a solutions
  • Bachelor's degree in Computer Science, Engineering, Technical Science or 5+ years of architecture and build experience with large scale solutions
  • Cloud Certified Professional Data Engineer
  • Professional Skill Requirements
    • Strong leadership and management skills
    • Strong communication and interpersonal skills
    • Strong analytical and problem-solving skills and passion for product development
    • Strong understanding of Agile methodologies and open to working in agile environments with multiple stakeholders
    • Professional attitude and service orientation; team player
    • Ability to translate business needs into potential analytics solution
    • Strong work ethic; ability to work at an abstract level and gain consensus
    • Ability to build a sense of trust & rapport to create a comfortable & effective workplace
    Key Skills: Azure, Google Cloud Platform, Azure Data Factory, Databricks, Python, Scala, T-SQL, NoSQL Referral Program: Ask our recruiting team about how you can be a part of our referral program. If you refer a candidate with the desired qualifications and your candidate accepts the role, you can earn a generous referral fee. We want to hire the best talent available and are committed to building great teams and partnerships. We are Equal Employment Opportunity Employer. VDart Inc Alpharetta, GA Follow us on Twitter for the hottest positions: @VDartJobs Follow us on Twitter: @vdartinc


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