Cyclotron, Inc.
Azure Sr. Data Engineer
Cyclotron, Inc., Chicago, Illinois, United States, 60290
Sr. Data EngineerLevel:
SeniorDepartment:
AzureLocation: Anywhere in US (fully remote)Type:
FTEGENERAL DESCRIPTION & RESPONSIBILITIESThe Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron’s sales, service delivery and project management organizations in service to Cyclotron’s clients.The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Proficiency with the Databricks platform, implementing enterprise Data Lakehouse will be required. Candidates will be expected to contribute to all stages of the data lifecycle including data ingestion, data modeling, data profiling, data quality, data transformation, data movement, and data curation.Candidate should be familiar with the market challenges in multiple industry verticals and have experience with both traditional and modern across the Microsoft technology stack.Strong collaboration skills, embraces change, works well with ambiguity, shifts easily across roles and groups.Ability and willingness to take the initiative to serve the client needs first.Ability to engage directly with the client stakeholder, managers, and end users.Ability to interface with clients up to the C-suite, down to the line worker.Ability to design and implement Advanced Analytics solutions based on customer needs and knowledge of Microsoft Cloud and related Open-Source (Apache) technologiesAbility to triage and self-direct, prioritize and manage time effectively.Ability to collaborate with other members of the Cyclotron team, including Project Managers, Software Engineers, and Business Analysts.PLACEMENT CRITERIA & REQUIREMENTSFocus on Azure data engineering solutions8+ years data engineering delivery experience3+ years of Databricks engineering development experience2+ years technical team leadership or technical management experienceCurrent Azure and/or Databricks certificationsTECHNICAL SKILLS REQUIREDGeneral ArchitectureDesigning large-scale data warehouse solutionsBeing able to interpret business requirements into functional and then technical requirementsDesign, develop and maintain data pipelines using Databricks and Microsoft Azure servicesExperience solutioning Azure Cloud based enterprise data architectures.Experience with data pipeline automationInformation ArchitectureData Modeling principles for relational and dimensional data structuresData Warehouse design principlesData Lake design principles, Data VirtualizationHybrid enterprise data architectureStrong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced AnalyticsExperience with following languages: Python, SQL, DAX, MExperience with reporting and data visualization tools, specifically PowerBIPractical knowledge of Microsoft SQL ServerExperience in multidimensional and / or tabular models (SSAS)Microsoft Azure StackRDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning)ETL/ELT, (ADF, SSIS)Data governance – (Purview, Unity Catalogue)Analysis Services [Tabular]Databricks Delta Lake StorageAzure Dev OPSDESIRED SKILLSAdvanced Analytics Data TechnologiesDatabricks, Delta Lake, SynapseSpark SQL, PysparkAzure Data ExplorerLogic Apps, Key VaultSemi structured data processingIntegration RuntimeCoding experience: Python, C#, Java for Data analysis purposeOne of the following certifications: Microsoft Certified - Data Analyst Associate, MCSA - BI ReportingKnowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, SynapseInformation ArchitectureData Stewardship, Ownership and Quality Management principlesData Governance, Data Catalog, Enterprise Information ManagementNON-TECHNICAL SKILLSBusiness EngagementDemonstrated ExperienceProviding thought leadership and business strategy acumen around advanced analytics and business information lifecycleLeading customers through a value-based decision-making cycleDeveloping functional, non-functional and technical requirements based on business imperativesPresenting to customer executive teams with authority and purposeProject and Team Delivery LeadershipDemonstrated ExperienceDirecting business analysts and developers in the execution of project tasksLeading consultants in various project work streamsEstimating, planning and executing advanced analytics solutionsManaging geographically distributed project teamsCYCLOTRON EXPECTATIONSThese are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes.Communication and Interpersonal Skills – verbal and written, professional, concise, and effective.Collaboration and Teamwork - share knowledge, build alliances, show respect.Personal Ownership and Responsibility – take initiative, solve problems, be fully present.Customer Focus – Proactive management or Client expectations and needs.Time Management and Productivity – Set Goals, Commit, Record, CommunicateCyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team.Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
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SeniorDepartment:
AzureLocation: Anywhere in US (fully remote)Type:
FTEGENERAL DESCRIPTION & RESPONSIBILITIESThe Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron’s sales, service delivery and project management organizations in service to Cyclotron’s clients.The ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience. Proficiency with the Databricks platform, implementing enterprise Data Lakehouse will be required. Candidates will be expected to contribute to all stages of the data lifecycle including data ingestion, data modeling, data profiling, data quality, data transformation, data movement, and data curation.Candidate should be familiar with the market challenges in multiple industry verticals and have experience with both traditional and modern across the Microsoft technology stack.Strong collaboration skills, embraces change, works well with ambiguity, shifts easily across roles and groups.Ability and willingness to take the initiative to serve the client needs first.Ability to engage directly with the client stakeholder, managers, and end users.Ability to interface with clients up to the C-suite, down to the line worker.Ability to design and implement Advanced Analytics solutions based on customer needs and knowledge of Microsoft Cloud and related Open-Source (Apache) technologiesAbility to triage and self-direct, prioritize and manage time effectively.Ability to collaborate with other members of the Cyclotron team, including Project Managers, Software Engineers, and Business Analysts.PLACEMENT CRITERIA & REQUIREMENTSFocus on Azure data engineering solutions8+ years data engineering delivery experience3+ years of Databricks engineering development experience2+ years technical team leadership or technical management experienceCurrent Azure and/or Databricks certificationsTECHNICAL SKILLS REQUIREDGeneral ArchitectureDesigning large-scale data warehouse solutionsBeing able to interpret business requirements into functional and then technical requirementsDesign, develop and maintain data pipelines using Databricks and Microsoft Azure servicesExperience solutioning Azure Cloud based enterprise data architectures.Experience with data pipeline automationInformation ArchitectureData Modeling principles for relational and dimensional data structuresData Warehouse design principlesData Lake design principles, Data VirtualizationHybrid enterprise data architectureStrong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced AnalyticsExperience with following languages: Python, SQL, DAX, MExperience with reporting and data visualization tools, specifically PowerBIPractical knowledge of Microsoft SQL ServerExperience in multidimensional and / or tabular models (SSAS)Microsoft Azure StackRDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning)ETL/ELT, (ADF, SSIS)Data governance – (Purview, Unity Catalogue)Analysis Services [Tabular]Databricks Delta Lake StorageAzure Dev OPSDESIRED SKILLSAdvanced Analytics Data TechnologiesDatabricks, Delta Lake, SynapseSpark SQL, PysparkAzure Data ExplorerLogic Apps, Key VaultSemi structured data processingIntegration RuntimeCoding experience: Python, C#, Java for Data analysis purposeOne of the following certifications: Microsoft Certified - Data Analyst Associate, MCSA - BI ReportingKnowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, SynapseInformation ArchitectureData Stewardship, Ownership and Quality Management principlesData Governance, Data Catalog, Enterprise Information ManagementNON-TECHNICAL SKILLSBusiness EngagementDemonstrated ExperienceProviding thought leadership and business strategy acumen around advanced analytics and business information lifecycleLeading customers through a value-based decision-making cycleDeveloping functional, non-functional and technical requirements based on business imperativesPresenting to customer executive teams with authority and purposeProject and Team Delivery LeadershipDemonstrated ExperienceDirecting business analysts and developers in the execution of project tasksLeading consultants in various project work streamsEstimating, planning and executing advanced analytics solutionsManaging geographically distributed project teamsCYCLOTRON EXPECTATIONSThese are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes.Communication and Interpersonal Skills – verbal and written, professional, concise, and effective.Collaboration and Teamwork - share knowledge, build alliances, show respect.Personal Ownership and Responsibility – take initiative, solve problems, be fully present.Customer Focus – Proactive management or Client expectations and needs.Time Management and Productivity – Set Goals, Commit, Record, CommunicateCyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team.Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
#J-18808-Ljbffr