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Tier-1 brand plus a mid-level generalist data role in a metro increases applicant competition.
Core data engineering skills are highly transferable across industries.
Requires specific DB/ETL stack expertise and a degree but lacks explicit years requirement.
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Design, implement, automate, and maintain large-scale enterprise ETL processes for global clients.
Deliver accurate, robust data solutions across multiple clients and industries on time.
Act as expert data resource and implement best practices including source control, code reviews, data validation, and testing.
Bachelor's degree in Engineering or Technology (BE/BTech) in any discipline.
Hands-on experience with RDMS technologies, preferably Microsoft SQL Server, SSIS stack, and .Net.
Proficiency in at least one scripting language: VB Script, Perl, or Python.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working on complex ETL processes supporting global client engagements with ability to manage multiple priorities.
Strong technical implementation skills with a focus on data acquisition, integration, and transformation in analytic platforms.
Demonstrated capability to provide oversight, validation, and quality control to own and team outputs, and collaborate across global teams.