Pune, India
Information Technology
Full-Time
DataEconomy
Overview
Job Information
Date Opened
01/17/2025
Job Type
Full time
Industry
IT Services
City
Madhapur
State/Province
Telangana
Country
India
Zip/Postal Code
500081
About Us
About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.
Job Description
- 15+ years of professional experience in the field of Data Architecture, Design and Development of Data Lifecycle Management (DLM) and Data Governance projects
- Experience should include hands-on experience in implementing a Customer Data Hub Customer Information Management system or Customer Data Mart which includes Modeling Customer Data Model in the 3NF / Dimensional Model, defining and developing integration patterns like Batch and real-time, defining & developing the physical storage layer, defining & developing the consumption pattern
- Experience with Data Modeling is a MUST, experience in defining standards and data architecture best practices is a must
- Experience with Data Management/Architecture Practices like Data Integration, Data Governance, Data Quality, Metadata management, Data Security, Data Encryption etc. is a must
- Must have hands-on experience with developing large Data Mart or Data warehouse or Data hub involving data modelling, data ingestion, data processing and extract generation to the downstream systems
- Must have experience with any ETL tool like Informatica or Data Stage or other for data processing requirements.
- Experience with Identity resolution products for Name and Address standardization like Informatica IDQ / Address Doctor /IBM Quality stage is required.
- Experience with any Data Quality product like Informatica IDQ, Quality Stage or Trillium will be an added advantage
- Must have strong experience with writing SQL for pulling and analyzing source/data platforms
- Experience with Data Science models, model validation, model tuning and management will be an added advantage.
- Proactively communicate and collaborate with business stakeholders to understand the business requirements, translate them into design, and develop the respective module based on the requirements.
- Must have experience working in an Agile implementation set-up with Product Backlogs, User Stories, Scrum and sprint planning etc.
- Strong verbal and written communication and English language skills
- Strong consulting skills and consulting experience are strongly desired.
Requirements
- Developing Data Architecture and Design documents for Data Lake, Data warehouse & Data Marts corresponding to Customer Information Management Systems
- Experience in Data Lifecycle Management (DLM)
- Configuring Solutions and Coding any customization required for the Data platform including Data Lake, Data warehouse and Data Marts
- Working with the clients to understand the requirements. Develop the required codebase for the functional needs
- Develop Source to Target mapping document for all the attributes that are required to be captured for Data Lake, Data warehouse and Data Marts
- Configure and develop code required for Upstream and downstream system communication in a Batch and real-time mode
- Provide clarifications for any questions that the Business / SME team or any other stakeholder has on Data implementations.
- Participate in system and acceptance testing along with the stakeholders
Benefits
Standard Company Benefits
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