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34,994 jobs found
18.09.2024
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Apple Data Engineer United States, New York, New York
Minimum 3+ years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field. Expertise in building Cloud Data Warehouses in Snowflake, Redshift,...
Work closely with team members and stakeholders to turn business problems into analytical projects and solutions. Translate large volumes of raw, unstructured data into efficiently stored and easily digestible formats....
Leads story refinement and delivery of requirements through the delivery lifecycle and assists team members in resolving technical complexities. Codes complex solutions to integrate, clean, transform, and control data, builds...
Cloud Data Engineer In this position… Work and become a part of the high performing North American Inbound Logistics team who have plans to deploy a vendor developed YMS solution...
Collaborates closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives. Implements best practices for data engineering, ensuring data quality, reliability, and performance. Contributes to data...
5+ more years of experience within Data Engineering. Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline. Effective Python, shell and SQL programmer. Hands on experience with...
Managing AWS resources including Kinesis, Glue, RDS, S3, Redshift, QuickSight, etc. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using...
Minimum 3+ years experience in Cloud Data Engineering, preferably with a background in computer science, mathematics, or a related quantitative field. Expertise in building Cloud Data Warehouses in Snowflake, Redshift,...
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.