Responsibilities The data engineer would be integral part of the Decision Science unit and would act as the chief architect of the unstructured data strategy for the bank. Specifically, he/she will be expected to perform the following: - Work directly with teams in managing and analyzing large databases; specifically - Setting up and maintaining a GB/TB size structure/unstructured database - Collapse data from multiple external sources (Social media, blogs, websites - ) and structure them in the form which can provide actionable outcomes. - Performing data integration, manipulation, and querying for purposes of reporting and more sophisticated analytics - Develop smart data cubes which can act as a feeder pool to ML/AI algorithms - Playing a significant role in team problem solving specifically around data architecture - Hands-on in big data mining, unstructured data analysis and natural language processing covering a wide range of tools and technologies - Should be able to understand the business requirements and marry it with analyzing problem data architecture. - Provide data mining and analytical support on projects, including conducting analysis, building data-intensive models/tools, summarize and interpreting results - Act as through partner on database related issues. Should actively build up knowledge of new tools and techniques being used for managing structure/unstructured data. We are looking for candidates who have demonstrated both a strong business sense and robust programming skills Skill Set Required - Excellent analytical and problem-solving skills, including the ability to dis-aggregate issues, identify root causes and recommend solutions - Strong programming skills in Python, R, SQL Server, SAS, MS Access, VBA - Strong knowledge of packages like SSIS and SSRS - Managed unstructured/non-relational data. Has deep knowledge of Hadoop, PIG, HIVE - Experience in data manipulation and handling large data sets; Data extraction, data transformation (standardization, cleaning, data repair, matching, and de-duping) and refinement - Experience in working with relational databases; ability to identify needed data elements to support reporting requests Education &amp; Previous Experience Required - PHd, Post-graduate in Computer Applications/Engineering/Mathematics (with strong quantitative background). - 5-8 years experience in working with programming on SQL Reporting Services 2005/2008, PL/SQL (Oracle/MySQL) and T-SQL (MS SQL server), SAS (Base/Mainframe), JAVA, C++, .net etc - Text Analytics (Sentence Pattern Mining, n-gram analysis, LDA for topic modeling), Machine, - NLP - Deep functional knowledge of HBASE, Hadoop, HIVE, PIG, NOSQL, Spark etc Others Capabilities / Requirements - Have an inherent passion towards data science, also has the ability to marry data base structuring techniques with solving business problems. - Ability to demonstrate strong business sense to bear - Ability to deal with ambiguity and ever evolving client requirements - Highly entrepreneurial and innovative mindset. - Good written and verbal communication skills. Fluent in both written and spoken English - Prior experience in a multi-national environment desirable. - Energetic, cooperative and pleasant personality. Able to work with and coach effectively a diverse group of team members - Ability to work under pressure and deliver on tight deadlines

Gurgaon/Gurugram

IndusInd Bank - Manager - Data Analytics - Decision Science Unit  

IndusInd Bank - Manager - Data Analytics - Decision Science Unit   ,Job Description for IndusInd Bank - Manager - Data Analytics - Decision Science Unit   in IndusInd Bank in  Gurgaon/Gurugram for (5-8) years of experience. Apply Now!

Job Description for IndusInd Bank - Manager - Data Analytics - Decision Science Unit   in IndusInd Bank in  Gurgaon/Gurugram for (5-8) years of experience. Apply Now!