6+ years’ experience in Azure architecture, Azure Data Services, design and development. Significant experience as DW architect on several initiatives. • Rich Data/Dimensional modeling expertise • Expert knowledge of Azure tools and services centered around data and analytics (Azure Synapse, Data Lake, Data Factory etc.) • Experience designing and building complete ETL processes moving and transforming data from ODS, Staging and Data Warehousing, cloud and hybrid. Education and Experience: • Bachelor’s Degree in computer science or related field required. • 10 or more years’ experience managing and designing systems in an enterprise infrastructure environment required.

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About Motifworks- An Accionlabs

Founded :

2010

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Size :

100-1000

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Profitable

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Excellent communication, organizational transformation, and leadership skills
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JD

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Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8

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Ensure that data flows smoothly from source to destination so that it can be processed
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Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

Job role:

Job Location: Indore | Full-Time Internship | Stipend - Performance Based |

About the company:

Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Responsibilities:

Ensure that data flows smoothly from source to destination so that it can be processed
Utilize strong database skills to work with large, complex data sets to extract insights
Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
Work closely with top management to prioritize information and analytic needs

Requirements:

Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
Proven problem solving and debugging skills.
Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
Experience with text analytics, data mining and social media analytics.
Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

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