Careerbuilder India Fwd: BI Data warehouse Developer at East Chicago, IN and Data Scientist at Harrisburg, PA

Hello Vendors,


Below are the two reks please share some suitable profiles along with a Photo ID Copy


Title : BI Data warehouse developer

Location: East Chicago, IN

Duration: 6 months

Client : Tech Mahindra/ArcelorMittal


Required Skills: (5+ years)

§  Visual Studio 2012SQL Server 2012T-SQL Queries, Stored Procedures,

§  Views SQL Server Reporting Services (SSRS) 2012SQL Server Integration Services (SSIS) 2012SQL Server Analysis Services (SSAS) 2012,

§  MDX Working knowledge of Microsoft Master Data Services (MDS)

§  Working knowledge of Online Analytical Processing (OLAP)

§  Working knowledge of Business Intelligence warehouse modeling utilizing Kimball Methodology Advanced database design and SQL syntax knowledge

§  Excellent organization, prioritization, time-management, and decision-making skills

§  Excellent oral & written communication skills Experience utilizing the SDLC (System Design Life Cycle)



Title : Data Scientist

Location: Harrisburg, PA

Duration: 6 – 12 months

Client : Tech Mahindra/ TE connectivity


•        Translating a complex strategic challenge into relevant analytic framework(s):

•        Setup and lead meetings to gather business requirements.

•        Ask probing questions to understand business intent and how the end-results will be used. Surface implicit assumptions by the business user. Agree on template end-deliverables.

•        Identify relevant data sources, determine appropriate acquisition approach (e.g. skim relevant data or creation of structured database for manipulation, etc.)

•        Create specific project management plans defining the scope (number and type of analyses, assumptions) and timelines, ensuring that data is obtainable for the analysis required.

•        Where necessary, pulling data into analytic environment using tools like SQL and Hadoop.

•        Identifying practical approaches to test and learn key hypotheses to extend analytic insight.

•        Creating statistical models, algorithms and data visualizations to enable solutions to complex business questions. Examples of analytical tools that may be used include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, machine learning, deep learning, etc.

•        Coding and conducting analyses using tools like R, Python, Spark and others within a Hadoop eco system.

•        A rigorous understanding of the fundamentals of statistics and machine learning applied to business challenges and microeconomics is required.

•        Proficiency in tools like R, Python and/or Spark is required.

•        A strong curiosity to learn and apply data science techniques and tools is required.

•        Proven ability to work within a climate of ambiguity is necessary.

•        Outstanding communication and presentation skills is a must.

•        A graduate degree (MS or PhD) in STEM disciplines (Science, Technology, Engineering, Math) or in other disciplines with heavy focus on quantitative domains, including statistics, analytics, computing or actuarial sciences is desired.




Wishing You a Great Day !

Warm Regards,


Email ID:


You received this message because you are subscribed to the Google
Groups "Careerbuilder India" group.
To post to this group, send email to
To unsubscribe from this group, send email to
For more options, visit this group at

You received this message because you are subscribed to the Google Groups "Careerbuilder India" group.
To unsubscribe from this group and stop receiving emails from it, send an email to
For more options, visit

Bookmark the permalink.

Leave a reply