Google Cloud Platform Data Engineer

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. Role – Data Lead and Google Cloud Platform Location – Atlanta, GA (Hybrid) Hire Mode – Full Time/Contract Exp – 10+ Years Job Description:

• Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github
• Experience working in Google Cloud Platform and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries.
• Strong Programming experience in Python or Java Experience with Data modeling and mapping.
• Experience in Google Cloud platform (especially Big Query) Experience developing scripts for flowing data into GBQ from external data sources.
• Experience in Data Fusion for automation of data movement and QA. Experience with Google Cloud SDK & API Scripting.
• Experience in performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloud Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be great
• Data migration experience from on prim legacy systems Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platform
• Experience with Data lake, data warehouse ETL build and design
• Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native Google Cloud Platform, Java, Python, Scala, SQL etc.
• Experience in implementing next generation data and analytics platforms on Google Cloud Platform cloud
• Experience in Jenkins, Jira, confluence.
• Data engineering or Data profiling and Data warehousing.
• SQL or Spark, python or Java real-time expertise are must.