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Technology Consultant

2.00 to 4.00 Years   Bangalore   31 Aug, 2019
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

As a Data Engineer, you will work with multiple teams to deliver solutions on the Azure Cloud using core cloud data warehouse tools (Hadoop, Spark, and other Big Data related technologies). In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations. Note: This is a data engineer from the application side. Must be able to analyze data and develop strategies for populating data lakes. This is not an infrastructure position. This person may be called upon to do complex coding using U-SQL.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 analyticsDelivery a quality productCoding complex U-SQLSkills/Qualifications2 years hand on experience with AzureBroad depth of knowledge of the Azure environmentProven experience with data warehousing, data ingestion and data profilingProficient in a source code control system such as GITUnderstands capability of Informatica with AzureProven work history with U-SQL application development codingFamiliar with T-SQL, Hive, Spark, Python, etc.Ability to codeLogic AppsAzure Data FactoryAzure Data Lakes (structured or unstructured)Data Mapping from source to cloudAbility to translate current legacy code to cloud programming languagesMS Office Tools (Word, Excel, Power Point, Visio)Ability to create data flows using VisioAbility to use word to create required technical documentationSoft SkillsExcellent written and verbal skills (English)FlexibleSelf-StarterTeam Player or individual contributor,

Keyskills :
finacle internetbanking dataasaservice msofficetools bigdata msoffice datamapping datawarehousing banking

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