Futran Tech Solutions Pvt. Ltd.
Sr. Azure Synapse Architect
Futran Tech Solutions Pvt. Ltd., Richfield, Minnesota, United States,
Role : Sr. Azure Synapse Architect - Day 1 onsite
Location: Richfield, MN (Candidate has to work from the client office 5 days/week).
Job Description:
Responsibilities
Ideate overall Azure Native Data Analytics Architecture that include Azure Synapse workspace(Synapse pipelines, Synapse Serverless Spark, Synapse Serverless SQL and in-depth of Synapse Dedicated pool)Experience creating Data Platforms in Azure Analytics platformDesign and develop data engineering pipelines for big data applications and managing pipelines life cycles.To have strong hands on experience in Synapse workspace and Synapse dedicated pool workload & resource Optimization.To have strong hands on experience in Synapse workspace dev-opsHands of experience in Performance optimization.To have strong hands-on experience to designing & write Polybase scripts, SQL queries and stored procedures in Synapse.Job Requirement
Very strong hands on experience in Synapse workspace data loading and dedicated pool & Serverless pool SQL optimization.Perform design, implement & release of synapse pipelines and Spark pipelines.Very good hands on experience in design and development for processing versatile Sources(structure, non-structural & semi-structural data) & SinksAtleast 12-14 years of experience in Data engineering architecture/design/implementation and atleast 3 years of experience in Azure Cloud technologies like ADF, Synapse and other Azure native data solutions.MUST have minimum 2 - 3 years of programming experience in Big Data technologies and Azure Analytics PlatformExperience in Azure technologies includes - - Azure Data Services - ADLS - Data Lake Storage, ADF - Azure Data Factory, Azure Cloud Services, Synapse workspace, SQL.Strong written and verbal communication skillsWorking knowledge with AGILE development, SCRUM and Application Lifecycle ManagementAdditionally experience in AKS (Azure kubernetes Services or Kubernetes) & Power BI Services will be considered additional weight in consideration decision.
Location: Richfield, MN (Candidate has to work from the client office 5 days/week).
Job Description:
Responsibilities
Ideate overall Azure Native Data Analytics Architecture that include Azure Synapse workspace(Synapse pipelines, Synapse Serverless Spark, Synapse Serverless SQL and in-depth of Synapse Dedicated pool)Experience creating Data Platforms in Azure Analytics platformDesign and develop data engineering pipelines for big data applications and managing pipelines life cycles.To have strong hands on experience in Synapse workspace and Synapse dedicated pool workload & resource Optimization.To have strong hands on experience in Synapse workspace dev-opsHands of experience in Performance optimization.To have strong hands-on experience to designing & write Polybase scripts, SQL queries and stored procedures in Synapse.Job Requirement
Very strong hands on experience in Synapse workspace data loading and dedicated pool & Serverless pool SQL optimization.Perform design, implement & release of synapse pipelines and Spark pipelines.Very good hands on experience in design and development for processing versatile Sources(structure, non-structural & semi-structural data) & SinksAtleast 12-14 years of experience in Data engineering architecture/design/implementation and atleast 3 years of experience in Azure Cloud technologies like ADF, Synapse and other Azure native data solutions.MUST have minimum 2 - 3 years of programming experience in Big Data technologies and Azure Analytics PlatformExperience in Azure technologies includes - - Azure Data Services - ADLS - Data Lake Storage, ADF - Azure Data Factory, Azure Cloud Services, Synapse workspace, SQL.Strong written and verbal communication skillsWorking knowledge with AGILE development, SCRUM and Application Lifecycle ManagementAdditionally experience in AKS (Azure kubernetes Services or Kubernetes) & Power BI Services will be considered additional weight in consideration decision.