Data Modelling

4 days ago

Bengaluru, India Acesoft Labs Full time

Job Responsibilities- Work with a team of high-performing business and product professionals, and cross-functional teams to identify business opportunities, powerful data insights, data model and dashboards to provide visibility through data.
- Analyze large-scale structured and unstructured data; develop deep-dive analyses data models to enterprise value and customer success.
- Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights.
- Design and analyze data models to be able to provide insights and convert those insights into actionable recommendations.
- Craft compelling stories; make logical recommendations; drive informed actions.
- Engage with internal technology partners to prototype and validate tools developed in-house for near-real-time processing of very large data sets.
- Initiate and drive projects to completion with mínimal guidance.
- Basic Qualifications- BA/BS in Computer Science or related technical discipline, or related practical experience.
- Bachelors with 2+ years of domain experience or Masters with 1+ years of domain experience.
- 6+ years of experience in data modeling, visualization and insight dashboarding
- 2+ year experience in Object-Oriented Programming (Python, C#)
- 3+ years of experience with SQL and relational database query performance.
- Experience with High scale, data orchestration in cloud platform
- Preferred Qualifications- Experience with manipulating massive-scale structured and unstructured data.
- Experience with data orchestration preferably in Azure PaaS resources: any-of: Azure data factory / Snowflake / Databricks DTL / Delta Lake / Azure Synapse Analytics
- Experience with Databricks ETLs for curating modeled datasets.[DW1] [BJ2] [DW3]
- Experience with integrating massive scale data with any reporting tool (PowerBI etc.)
- Exposure to data governance and other compliance policies (GDPR, PII etc.) implementation.
- Exposure to Data warehousing paradigms for OLAP insights generation working on multi-dimensional enterprise datasets

[DW4] [BJ5] [DW6] -Exposure to Industry approved modelling ontologies: for example, CDM- Working knowledge of Windows or Unix-like systems, git and review board.
- Excellent communication skills with the ability to synthesize, simplify and explain complex problems to different types of audience.
- Role:_IT Infrastructure Services - Other
- Salary:_ Not Disclosed by Recruiter
- Industry:_IT Services & Consulting
- Functional Area:_IT & Information Security
- Role Category:_IT Infrastructure Services
- Employment Type:_Full Time, Permanent
- Key Skills
- PowerBISnowflake ModelingSQLazure
- c#Azure Data FactoryAzure Service FabricAzure FunctionsAzure DatabricksTableauGDPRPython
- Skills highlighted with ‘‘ are preferred keyskills

Education
- UG:_Any Graduate

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