Big Data Engineer Azure

Responsibilities : Work as part of a team to develop Cloud Data and Analytics solutionsParticipate in development of cloud data warehouses, data as a service, business intelligence solutionsData wrangling of heterogeneous dataAbility to provide solutions that are forward-thinking in data and analyticsCoding complex U-SQL, Spark (Scala or Python), T-SQLDeveloping Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks)Collaborates with project team members to identify issues and risks associated with the design, implementation, and delivery of project assignments.

Actively participate on PI PlanningGive demo to the business team (End Users)Contribute to the technical discussionsActively participate on daily scrum meetingsSkillsets (Must have) : Expertise to Implementing Data warehousing SolutionsExperience as Data Engineer in Azure Big Data EnvironmentProgramming experience in Scala or Python, SQLHands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks)Good understanding of other Azure services like Azure Data Lake Analytics, Azure SQL DWGood understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scaleDemonstrated analytical and problem-solving skills, particularly those that apply to a big data environmentGood Understanding of Modern Data Warehouse / Lambda Architecture, Data warehousing conceptsProficient in a source code control system such as GITSkillsets (Preferred) : Exposure to DevOps Basics.

Exposure to Basics of Release Engineering.