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| Job Location | Kolkata |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Logistics / Courier / Transportation |
| Functional Area | Engineering Design / Construction |
| EmploymentType | Full-time |
Show More Key responsibilitiesDesign DWH model, ensuring that the data design follows the prescribed reference architecture framework while reflecting appropriate business rules built for logical, physical and conceptual model. Facilitate data integration, data conformity, data integrity and ensure data structures are designed for flexibility to support future business needs and enhancements. Understand the relationships across business information and units of data, Reverse engineer data from various source systems. Ensure that data transformations are well documented following best practices and understood by business users and developers. Have experience cleansing, manipulating and analysing large datasets, both structured and unstructured. Exceptional data and statistical analysis, critical thinking, communication, problem solving and cross-group collaboration skills with experience in Microsoft MDM Products. Project experience using Azure cloud, data lake storage, Data factory, Hadoop 2.x, HDInsight, Spark, Scala, Hive, Pig, Sqoop, HDFS. Experience with Spark is mandatory. Hands on experience on Azure components like Data Factory, Data Bricks, Azure ML, Logic Apps, Automation run books, Analysis Services, Security, etc. Experience with Power BI, Linear programming or other optimization techniques would be an added advantage. Experience in performance tuning of complex ETL mappings for relational and non-relational workloads. Advanced SQL programming, PL/SQL or T-SQL. Basic knowledge on Machine Learning concepts like linear regression, time series forecasting, decision trees, random forest, etc. Experience with enterprise-class data modelling tools including: PowerDesigner, ER/Studio, Erwin Data Modeler, Sparx Enterprise Architect. Hands on Unix scripting or PowerShell, experience with Azure PaaS services. Hands on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, data warehouse and big data002E`Show More We are looking forWe are seeking a Data Engineer with over 5 years of experience in DWH, Analytics and BI technologies, one who has delivered more than 6 Analytics/BI solutions. Candidates must have strong communication skills that allow you to regularly deal with the business, as well as with specialists from related fields, including Data scientists, BI architects and Front-End Engineers.,
Keyskills :
content managementemailsqlanalyticsapachestrong communication skillspower bifront endtime seriesdata modelingbusiness rulesunix scriptingdata integrity