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Tier-1 brand, generalist Data Engineer title, mid-level experience and metro location driving high competition.
Core data engineering skills on Redshift and ETL are broadly transferable across industries.
Explicit 3+ years, mandatory data warehousing and ETL skills, and AWS/Redshift requirements increase filter strictness.
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Develop and maintain scalable data warehouse architecture and performant data models for the Prime Video APAC and ANZ analytics ecosystem.
Apply AWS cloud-based services like Redshift and Spectrum to solve large-scale big data warehousing and ETL challenges.
Collaborate with BI engineers, data scientists, marketing, and content acquisition teams to deliver actionable insights impacting day-to-day decision making.
3+ years of data engineering experience.
Experience with data modeling, data warehousing, and building ETL pipelines.
Proficiency in at least one modern scripting or programming language (Python, Java, Scala, or NodeJS).
Work Experience Required: 3+ years as explicitly mentioned; Notice period: Not explicitly mentioned in the JD.
Experienced in architecting and optimizing large-scale data warehouses, preferably on AWS technologies (Redshift, Spectrum).
Capable of writing high-quality, maintainable, and robust SQL and code, also mentoring team members on best practices.
Comfortable operating in a fast-paced, ambiguous environment handling very large datasets and complex business problems.