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Tier-1 brand and metro location increase competition, though niche ETL/Teradata skills moderate density.
Data architecture and ETL skills are broadly transferable across industries with low domain lock-in.
Specific mandatory skills like ETL, dimensional modelling and Teradata increase filter strictness moderately.
Design and develop scalable data warehouse architectures and data pipelines aligned with business requirements.
Translate business needs into technical solutions, ensuring robust data transformation processes.
Collaborate with stakeholders and support development teams through clear solution designs and technical guidance.
Strong understanding of data warehousing concepts and dimensional modelling.
Proven hands-on experience in ETL design and development using ETL tools.
Advanced SQL skills, including complex transformations and data analysis (e.g., Teradata).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing large-scale data architecture and transformation initiatives in a cross-functional environment.
Capable of effective collaboration with both business and technical stakeholders, providing clear communication on complex concepts.
Detail-oriented and organized with the ability to plan and deliver work within timelines under pressure.