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17.05.2024
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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,...
8+ years of hands-on experience in data architecture, dimensional modeling, data warehousing and data engineering. Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and...
Develop the integrated Devices finance reporting platform leveraging existing systems and process and scalable technology. Partner with Devices Central FP&A, Devices Product Line finance, online and offline channel finance, product...
DESCRIPTIONYou will be responsible for designing and implementing an analytical environment using third party and in house reporting tools, modeling metadata, building reports and dashboards. You will have an opportunity...
Provide technical leadership and key decision making. Continuous effort to automate and increase team efficiency. Maintain high standards of software quality via code review, testing, automation standardization, and tooling. Collaborate...
Lead the design, implementation, and continuous improvement of data pipeline for machine learning that drive our AdTech platform. Collaborate with cross-functional teams to understand business needs and translate them into...
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.