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MalaysiaMoneyLion's Kuala Lumpur office is seeking a Senior Data Engineer to build and maintain the analytics infrastructure supporting data scientists, analysts, and engineers across their fintech platform. You'll design and operate scalable data pipelines and warehouse solutions handling terabyte to petabyte-scale datasets, using tools like Redshift, Snowflake, EMR, Airflow, and Kubernetes, while writing optimized SQL and automating data workflows in Python or Java. Required experience includes expert-level SQL optimization, proficiency in Python/Java, familiarity with Airflow or similar orchestrators, and demonstrated ability with big data technologies like Spark; you should also be comfortable with distributed computing principles and data warehousing fundamentals. The role sits in MoneyLion's technology-focused KL office that drives innovation across their US and Malaysia operations, with a multicultural team working in a fast-paced fintech environment. Notably, candidates with Spark expertise, streaming experience, AWS knowledge, and understanding of advanced architectures (Lambda/Kappa) will stand out. The interview process includes a HackerRank test, take-home assessment, and discussion rounds with the hiring manager.
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