Junior Growth Data Engineer

4 weeks ago


Kwun Tong District, Hong Kong SAR China Tbwa ChiatDay Inc Full time
CASETiFY is one of the leading global lifestyle brands to offer customizable tech accessories. We’re industry leaders when it comes to trend forecasting and protecting what matters most; the community platform for creativity and self-expression.We are an international company that cares about culture and diversity. Our group is headquartered in Hong Kong and has offices in Los Angeles, Seoul, Shanghai, Taipei, Tokyo and our team comes from 30+ nationalities.We stand up for what we believe in by supporting causes that matter to us and our global community. At CASETiFY, we embrace diversity and inclusivity. As an equal opportunity employer, we encourage applicants from all backgrounds to apply. We are also committed to sponsoring work visas on behalf of qualified candidates if necessary.

Purpose of PositionWe are seeking a detail-oriented and analytical

Junior Growth Data Engineer

to join our team. As a Junior Data Engineer, you will be crucial in designing, building, and maintaining robust and scalable data pipelines. Working closely with Data Scientists and Engineers, you will develop and implement data ingestion, transformation, and storage solutions. You will ensure data quality and integrity while optimizing data processing for performance and efficiency.Job DescriptionBuild ETL pipeline based on business users' and data analysts' requirementsCreate and perform tests for ETL pipelinesInvestigate and analyze the ETL pipeline, identifying and resolving performance issues, data inconsistencies, and system failuresPrepare documentation and data dictionary for data lakehouseValidate and refine business logic used in data models to ensure alignment with organizational goals and business rulesAssist in data modeling and solidifying a fast-evolving data platformRequirementBachelor’s Degree in Computer Science, Information Engineering, Data Science, STEM, or relevant disciplinesProven experience in SQL, Python, shell scripting, and big data frameworksStrong understanding of data modeling principles, data warehousing concepts, and data architecture best practicesExperience with CI/CD methodologies and toolsExperience working with cloud platforms - AWS is preferredCertifications in relevant areas such as data engineering, database administration, or cloud computing are a plusPrior experience in the Retail and E-commerce industries is a plusProficiency in Google Analytics is a plusExcellent communication and presentation abilities to convey complex findings effectivelyBe a collaborative team player who can work effectively with data analysts, engineers, and internal teamsSelf-motivated and comfortable to work in a dynamic working environment, and be agile to changes

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