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ETL & Data Architect at Vodafone United States

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ETL, Data Architecture, Data Management, Stakeholder Collaboration, Metadata Definition, Data Models, Integration Strategies, Ab-Initio, Teradata, Data Modelling, GCP, Data Warehousing, Data Profiling, Cloud Migration, Technical Mentorship, Resource Planning

Industry

Telecommunications

Description

Design and implement ETL processes and data architecture solutions. Develop and enforce data management policies and best practices. Collaborate with stakeholders to define metadata, data models, and integration strategies. Architect solutions using ETL tools like Ab-Initio or equivalent. Ensure alignment with enterprise architecture policies and methodologies. Optimise data storage and retrieval for performance and cost efficiency. Support project managers with technical estimations and resource planning. Contribute to process adoption, tool optimisation, and quality uplift. Provide technical mentorship and guidance to data engineers and analysts. Lead initiatives on GCP cloud and on-prem to cloud migration. A professional with 10-15 years of overall experience, including 2-4 years of relevant experience in ETL and data architecture. Skilled in ETL solutions using Ab-Initio & Teradata, data modelling, and GCP. Familiar with data modelling tools such as Power Designer and Erwin. Knowledgeable in data warehousing, profiling, and cloud migration strategies. Holds a degree in B.E. / B. Tech, BCA / MCA, or BSc / MSc in Computer Science. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

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Responsibilities

Design and implement ETL processes and data architecture solutions while collaborating with stakeholders. Ensure alignment with enterprise architecture policies and optimize data storage and retrieval for performance and cost efficiency.