Futran Tech Solutions Pvt. Ltd.
Senior Cloud data Engineer
Futran Tech Solutions Pvt. Ltd., Weehawken, New Jersey, United States,
Senior Bigdata EngineerWeehawken NJ
ResponsibilitiesWe are looking for Senior Cloud data Engineer having at least 10+ years of industry experience in building Enterprise data warehouse solution using Spark with Scala or python and also Investment bank domain knowledge of at least 8+ year. Candidate is expected to be in office (in Person) at least 3 times a week.This person will be responsible to develop the framework required to load and transform data into a data vault modeling design to consume gigabyte of historical data for daily reporting purposes.This person will also help the team to learn and design next gen data warehouse solution using Cloud technology as per latest Industry standards.This person should have good experience in designing data vault modeling with Star & Snowflake modeling as well and should be able to design the next generation financial data model which can deal with both EOD as well as Real time streaming data. As this model will be serve as the base for all reporting across multiple business line , therefore efficiency , data quality and optimized heavy read is expected.SkillsMust have
Bachelor's and/or Master's degree in Computer Science, Computer Engineering or related technical disciplineTotal experience in IT - 15 years.At least 10+ years of experience in working in large global teams, especially for high-performance, largescale systems data warehouse solution using Data bricks , Spark (Python/Scala)Microsoft Azure experience is a mustSpark/Databricks batch and streaming solutions (Delta Lake, Lakehouse)Knowledge of Azure Data Factory and Cosmos DBKnowledge of Kafka, Event hubs and ADLS Gen2 on Microsoft AzureUnderstanding of dev ops tools and engineering practices using micro-services, ci/cd pipeline and test automationCloud technologies & design patternsbuilding and optimizing 'big data' data pipelines, architectures, and data setsproven skills in performance tuning and quality improvementsStrong in Algorithms and Data StructuresInfrastructure-as-code, using tools such as Terraform, ARM, Bicep or CloudFormationAzure CLI, setting up ADO pipelines, Terraform Enterprise, etc
ResponsibilitiesWe are looking for Senior Cloud data Engineer having at least 10+ years of industry experience in building Enterprise data warehouse solution using Spark with Scala or python and also Investment bank domain knowledge of at least 8+ year. Candidate is expected to be in office (in Person) at least 3 times a week.This person will be responsible to develop the framework required to load and transform data into a data vault modeling design to consume gigabyte of historical data for daily reporting purposes.This person will also help the team to learn and design next gen data warehouse solution using Cloud technology as per latest Industry standards.This person should have good experience in designing data vault modeling with Star & Snowflake modeling as well and should be able to design the next generation financial data model which can deal with both EOD as well as Real time streaming data. As this model will be serve as the base for all reporting across multiple business line , therefore efficiency , data quality and optimized heavy read is expected.SkillsMust have
Bachelor's and/or Master's degree in Computer Science, Computer Engineering or related technical disciplineTotal experience in IT - 15 years.At least 10+ years of experience in working in large global teams, especially for high-performance, largescale systems data warehouse solution using Data bricks , Spark (Python/Scala)Microsoft Azure experience is a mustSpark/Databricks batch and streaming solutions (Delta Lake, Lakehouse)Knowledge of Azure Data Factory and Cosmos DBKnowledge of Kafka, Event hubs and ADLS Gen2 on Microsoft AzureUnderstanding of dev ops tools and engineering practices using micro-services, ci/cd pipeline and test automationCloud technologies & design patternsbuilding and optimizing 'big data' data pipelines, architectures, and data setsproven skills in performance tuning and quality improvementsStrong in Algorithms and Data StructuresInfrastructure-as-code, using tools such as Terraform, ARM, Bicep or CloudFormationAzure CLI, setting up ADO pipelines, Terraform Enterprise, etc