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Tier-1 brand plus a popular mid-level Data Engineer profile increases candidate competition.
ETL, RDBMS, and scripting skills are broadly transferable across industries.
Specific SQL/SSIS/.NET technology requirements and enterprise compliance create moderate filtering despite no years listed.
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Design, implement, automate, and maintain large-scale enterprise ETL processes for global clients within the Test & Learn platform.
Deliver accurate, high-value, and robust data solutions across multiple clients, solutions, and industry sectors.
Act as an expert data resource, implementing best practices including source control, code reviews, data validation, and testing.
Bachelor's degree in Engineering (BE/BTech) in any discipline.
Hands-on experience with RDBMS technologies, preferably Microsoft SQL Server, SSIS Stack, and .Net.
Proficiency in at least one scripting language (VB Script, Perl, Python).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing complex global data solutions and collaborating across global teams and multiple time zones.
Strong technical skills in ETL processes, database management, and scripting consistent with industry best practices.
Demonstrates leadership in quality control, validation, and oversight of data engineering deliverables while balancing multiple project priorities.