Big Query Jobs in Atlanta, GA (NOW HIRING)

Job Summary:
InterSources Inc, a Certified Diverse Supplier, offers innovative solutions to help clients on Digital Transformations across various domains and industries. They are seeking a Lead Data Engineer to design, build, and operationalize large-scale enterprise data solutions using Google Cloud Platform and various data analytics services.
Responsibilities:
• 10 years of experience and working as a Lead Data Engineer
• Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP 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 GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries
• Mentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing team
• Possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders
• Coordinate with developers' architects stakeholders and cross functional teams from organization and customer side
• Strong Programming experience in Python or Java Experience with Data modeling and mapping.
• Experience in Google Cloud platform (especially BigQuery) 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 GCP 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 GCP, Java, Python, Scala, SQL etc.
• Experience in implementing next generation data and analytics platforms on GCP cloud
• Experience in Jenkins, Jira, confluence.
Qualifications:
Required:
• 10 years of experience and working as a Lead Data Engineer
• Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP 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 GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries
• Mentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing team
• Possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders
• Coordinate with developers' architects stakeholders and cross functional teams from organization and customer side
• Strong Programming experience in Python or Java Experience with Data modeling and mapping
• Experience in Google Cloud platform (especially BigQuery)
• 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 GCP cloud
• 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 GCP, Java, Python, Scala, SQL etc.
• Experience in implementing next generation data and analytics platforms on GCP cloud
• Experience in Jenkins, Jira, confluence
Preferred:
• Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be great
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.