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Job Location | Pune |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | Marketing / Communication |
EmploymentType | Full-time |
Role: GCP Data Engineer LeadDesired Experience Range: 10 - 12 YearsResponsibilitiesShould have experience in handling a team of Data Engineers/Data Analysts.All Extract Transform and Load (ETL) processes and the creation of applications that can connect to remote APIs. Preferably including streaming data into environments such as BigQuery.Management of multiple processes and applications, performance reporting and error checking.Management of all data created within client applications, the structure of data held, and the views of data created.Recommending the correct technologies to be used and in the most cost-effective manner.Design and creation of data led strategies which provide clients with opportunities to leverage their data for greater insight or performance.Thought leadership with regards to best practice and use of the google cloud platform.80% development, 20% new business & scoping (technical specifications)Be willing to take ownership of projects and to be able to present your proposed solutions to the wider team and to non-technical staff in an understandable wayAutomating repetitive tasksProactively suggest, plan and integrate new tools and methods to improve productivity, efficiency and reduce costsBe willing to work in a research capacity to find and test and critically review open-source frameworks and technologiesMaintain and enforce a good standard of coding and adhere to the same conventions as the rest of the teamHelping acquire and respond to new business requestsRequirements - Knowledge & Experience Solid Python programming skills. Java / other languages beneficial.Strong SQL experience, any flavor.Must have experience of building robust pipelines and data environments to support database or machine learning based applications.Google Cloud Platform experience is mustOfficial Google Data Engineer Certification is must.Data Engineering / BI Development / Data Warehousing experience.Knowledge of serverless infrastructure beneficialPrior management experienceAbility to scope a project based on a technical brief and work with the DevOps and QA teams to provide a detailed project plan including:Data Flow Diagrams for process flowDatabase Schemas & NormalisationScalable environment architecture suggestionsA complete and accurate estimate for the projectAbility to assess new business and respond with a full list of targeted questions to ensure accurate estimates are createdAbility to research solutions to technical problemsExperience scheduling/automating scriptsExperience with streaming data beneficialExperience on Linux command line and Bash scriptingExperience with Git/GitHubExperience with Dataflow, Google PubSub or other queuing software beneficialGood experience of parsing data formats such as XML/JSON and using 3rd party API sAn understanding of how data can benefit the wider business, and how to translate technical requirements to non-technical stakeholders.Key AttributesGood time management skillsPro-active & self-motivated with a sense of ownershipStrong verbal and written communication skills able to communicate with clients effectivelyAdopts a leave code better than you found it (and fully commented) attitudeAbility to perform effectively to tight deadlines, work well both independently and as part of a teamSelf-managing within the scope of the roleEducated to degree level in Computer Science or equivalentA good understanding of the change request processJob Segment: Cloud, Developer, Database, Computer Science, SQL, Technology , Role: GCP Data Engineer LeadDesired Experience Range: 10 - 12 YearsResponsibilitiesShould have experience in handling a team of Data Engineers/Data Analysts.All Extract Transform and Load (ETL) processes and the creation of applications that can connect to remote APIs. Preferably including streaming data into environments such as BigQuery.Management of multiple processes and applications, performance reporting and error checking.Management of all data created within client applications, the structure of data held, and the views of data created.Recommending the correct technologies to be used and in the most cost-effective manner.Design and creation of data led strategies which provide clients with opportunities to leverage their data for greater insight or performance.Thought leadership with regards to best practice and use of the google cloud platform.80% development, 20% new business & scoping (technical specifications)Be willing to take ownership of projects and to be able to present your proposed solutions to the wider team and to non-technical staff in an understandable wayAutomating repetitive tasksProactively suggest, plan and integrate new tools and methods to improve productivity, efficiency and reduce costsBe willing to work in a research capacity to find and test and critically review open-source frameworks and technologiesMaintain and enforce a good standard of coding and adhere to the same conventions as the rest of the teamHelping acquire and respond to new business requestsRequirements - Knowledge & Experience Solid Python programming skills. Java / other languages beneficial.Strong SQL experience, any flavor.Must have experience of building robust pipelines and data environments to support database or machine learning based applications.Google Cloud Platform experience is mustOfficial Google Data Engineer Certification is must.Data Engineering / BI Development / Data Warehousing experience.Knowledge of serverless infrastructure beneficialPrior management experienceAbility to scope a project based on a technical brief and work with the DevOps and QA teams to provide a detailed project plan including:Data Flow Diagrams for process flowDatabase Schemas & NormalisationScalable environment architecture suggestionsA complete and accurate estimate for the projectAbility to assess new business and respond with a full list of targeted questions to ensure accurate estimates are createdAbility to research solutions to technical problemsExperience scheduling/automating scriptsExperience with streaming data beneficialExperience on Linux command line and Bash scriptingExperience with Git/GitHubExperience with Dataflow, Google PubSub or other queuing software beneficialGood experience of parsing data formats such as XML/JSON and using 3rd party API sAn understanding of how data can benefit the wider business, and how to translate technical requirements to non-technical stakeholders.Key AttributesGood time management skillsPro-active & self-motivated with a sense of ownershipStrong verbal and written communication skills able to communicate with clients effectivelyAdopts a leave code better than you found it (and fully commented) attitudeAbility to perform effectively to tight deadlines, work well both independently and as part of a teamSelf-managing within the scope of the roleEducated to degree level in Computer Science or equivalentA good understanding of the change request processJob Segment: Cloud, Developer, Database, Computer Science, SQL, Technology ,
Keyskills :
customer servicesalescustomer relationshipmarketingcustomer experiencenew businessflow diagramstime managementcomputer sciencedata warehousing