Source description
About the role
Implementing ETL processes . Creating comprehensive test suites using Python . Validating data quality through advanced SQL queries . Collaborating with Data Scientists, Engineers , and Software teams . Developing and monitoring data tools, frameworks , and infrastructure changes . Focusing on continuous automation and integration of data from multiple sources. Required Technical Skills Proficiency in Hive QL, Spark QL , and Big Data concepts . Experience in data testing tools like DBT, iCEDQ , and QuerySurge . Expertise in Linux/Unix . Familiarity with messaging systems such as Kafka or RabbitMQ . Strong analytical and debugging skills .
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