Data Engineer Intro - WeCloudData
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The document discusses the role of a data engineer. It states that data engineers transform data into a format that can be analyzed, developing and maintaining infrastructures for data generation. They work closely with data scientists to architect solutions that enable data analysis. Data engineers require a variety of technical skills and the ability to approach problems creatively. Their responsibilities include building data pipelines and infrastructure for extraction, transformation, and loading of data. Required skills listed include experience with distributed systems, cloud platforms, programming languages like Python and Scala, databases, data processing technologies like Spark and Hadoop, data warehousing, and software engineering practices.
Data Engineer Intro - WeCloudData
- 1. Data Engineer CareerTalk WeCloudData @WeCloudData @WeCloudData tordatascience weclouddata WeCloudData tordatascience
- 2. 2013 2014 2015 20172016 2018 2019 Introduction Edwin Guo
- 4. Data Engineer What is Data Engineer? Data engineers are mainly tasked with transforming data into a format that can be easily analyzed. They do this by developing, maintaining, and testing infrastructures for data generation. Data engineers work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs. In addition, data engineers possess a plethora of technical skills and the ability to approach problems in a creative manner.
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- 16. Data Engineer Required skills Requirements: ! Bachelor's degree in Computer Science/Engineering or equivalent experience. Masterās degree preferred.Ā ! Experience with large-scale distributed systems , Microservice and service-oriented architectures. ! Extensive experience with Amazon AWS, and other cloud offerings. ! Strong development skills in Scala, Java, Python and/or C++. ! Experience with caching technologies using Redis, Memcached. ! Knowledge of various databases / database technologies - Oracle, Postgres, Cassandra (NoSQL). ! Exposure to implementing real-time streaming data pipelines on large volumes of data using Kafka, Spark.Ā ! Experience with Data Processing (ETL, Data Warehousing, etc.)Ā ! Big Data technologies and languages (Pig, Hive, Spark, Hadoop).Ā ! Familiarity with version control software, such as Git. ! Highly proļ¬cient in Object Oriented Design and Development.Ā ! Experience in Automation and Load Testing Frameworks. Build, test, and maintain optimal data pipeline architecture ! Assemble large, complex data sets to meet both functional and non-functional requirement ! Build the infrastructure necessary for optimal extraction, transformation, and loading of data.Ā Identify, design, implement, and enhance internal processes
- 17. Unleash your data potential! Senior Position $120K - $140K Expert $150K+ Entry Level $70K - $80K Experienced $90K - $110K WeCloudData offers data Engineer accelerator program. We specialize in teaching the newest open source tools and techniques such as Hadoop, Spark, Python, Machine Learning, Deep Learning, and Cloud. Introduction
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