Data Engineer - Data Platforms
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Role details
Tech stack
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Requirements
β Apache Spark & Scala Strong hands-on experience developing distributed data-processing applications. β Hadoop / Hive / Impala Strong experience working with enterprise Big Data platforms and large datasets. β SQL Advanced SQL skills including complex queries, joins, transformations, reconciliation, and performance tuning. β Python Strong scripting and data-processing experience for automation, utilities, and data engineering activities. Preferred Skills: β Experience working within banking or financial services environments. β Understanding of large-volume transactional and financial datasets. β Knowledge of ETL/data pipelines, data quality, and data reconciliation. β Experience with Agile development and CI/CD practices. BGC
A Data Engineer with expertise in Data Platforms specializes in developing applications on Big Data technologies, such as API development. This role requires a strong foundation in traditional Application Development, along with knowledge of Analytics libraries, open-source Natural Language Processing, and statistical and big data computing libraries. The ideal candidate will possess exceptional technical abilities to understand, design, write, and debug complex code.
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