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27.03.2024
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Apple Senior Software Big Data Engineer United States, Washington, Seattle
5+ years of Scala or Java with experience in functional programming. Experience building distributed data processing applications using Apache Spark. Experience in building and deploying large scale applications in Cloud...
5+ years of programming experience Java, Scala or Python. Proficient with Docker, Kubernetes and EKS. In-depth knowledge of Spark and other Big Data tech stack. Experience with debugging issues on...
Great programming skills in C, C++, Python or Java. Strong analytical thinking. Self-motivated and able to work independently. Excellent spoken and written communication skills. At Apple, base pay is one...
BASIC QUALIFICATIONS 3+ years of non internship professional software development experience 2+ years of non internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience...
5+ years of programming experience Java, Scala or Python. In-depth knowledge of Spark, Ray or other distributed computing frameworks. Understanding of SQL query engines like Trino, Hive etc. Experience with...
5+ years of programming experience Java, Scala or Python. In-depth knowledge of Spark, Ray or other distributed computing frameworks. Understanding of SQL query engines like Trino, Hive etc. Experience with...
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production...
5+ years of Scala or Java with experience in functional programming. Experience building distributed data processing applications using Apache Spark. Experience in building and deploying large scale applications in Cloud...
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. They are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop, Spark and Apache Kafka. They also have experience with data warehousing, data modeling, and data integration.
Data Engineers are responsible for designing and developing data pipelines to move data from various sources to data warehouses or data lakes, they also ensure the data quality and make sure that the data is accurate and properly formatted. They also have to monitor and maintain the performance of the data infrastructure and troubleshoot any issues that arise. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.
In short, Data Engineers are critical to the success of any data-driven organization. They are responsible for the data pipeline, from the collection and storage of data to its processing and analysis, and ensure that data is accurate, available, and properly formatted to the right people at the right time. They also play a key role in building scalable, reliable, and efficient data architectures that are essential for data-driven decision making. They have the ability to work with different data technologies and tools and have experience with cloud platforms.