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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. AWS Cloud Practitioner or more advanced AWS certification preferred. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
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Create and optimize ETL processes using tools like SSIS, Informatica, Talend. Proficiency in cloud technologies such as AWS, Azure, and GCP, with experience in Databricks, BigQuery, and other cloud-based services.
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Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc. In the process, the role will have the opportunity to act as a Data Advisory member for the Actuarial, Business Intelligence (BI), Data Science, and Data Engineering teams, as well as a collaborator and contributor to Enterprise Data Architecture.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Sr. Data Engineer will join a Data Engineering Team focused on data architecture and development in an AWS / Snowflake environment. REQUIREMENTS: Data Engineering in a AWS / Snowflake environment.
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We are seeking a highly skilled and experienced Senior Data Engineer specializing in data warehousing and data quality practices, proficient in the Azure, AWS, and Talend toolsets to lead the dissemination and analysis of local and global datasets toward our future growth.
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