Data Architect

Altimetrik

10 - 19 years

35 - 45 Lacs

bengaluru

Posted:6 hours ago| Platform:

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Skills Required

data modelling data architect python etl data governance

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Interface with customer to gather requirements, design solutions & make recommendations
Lead customer project conference calls or interface with a Project Manager
Deliver Technical Specifications documents for customer review
Strong collaboration with team software engineer consultants onshore & offshore
Leverage understanding of data relationships and schemas to structure data to allow clients to perform dynamic customer-level analysis
Construct processes to build Customer ID mapping files for use in building 360 degree view of customer across data sources. • Leverage scripting languages to automate key processes governing data movement, cleansing, and processing activities
Bill & forecast time toward customer projects • Innovate on new ideas to solve customer needs

Preferred candidate profile

10+ years of strong experience with data transformation & ETL on large data sets
Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing,
Offline, Point of Sale etc.)
5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data)
5+ years of complex SQL or NoSQL experience • Experience in advanced Data Warehouse
concepts
Experience in industry ETL tools (i.e., Informatica, Unifi)
Experience with Business Requirements definition and management, structured analysis,
process design, use case documentation
Experience with Reporting Technologies (i.e., Tableau, PowerBI)
Experience in professional software development
Demonstrate exceptional organizational skills and ability to multi-task simultaneous different
customer projects
Strong verbal & written communication skills to interface with Sales team & lead customers
to successful outcome • Must be self-managed, proactive and customer focused
Degree in Computer Science, Information Systems, Data Science, or related field

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