Data Engineering Internship Opportunity
3 weeks ago
Job Description: We are seeking a highly skilled graduate data engineer to join our team. The successful candidate will conduct applied research on rich data, leveraging it to create a single source of truth data. They will work with our big data technology stack, including Hadoop, HDFS, Hive, Spark, Kafka, and Azkaban. Experience in Hadoop or MapReduce paradigms, as well as SQL or relational databases, is essential.
Responsibilities: As a data engineer intern, you will:
• Work with a team of high-performing data engineering professionals to identify business opportunities and build scalable data solutions.
• Build data expertise and manage complex data systems for products or groups of products.
• Perform data transformations to serve products empowering data-driven decision making.
• Establish efficient design and programming patterns for engineers and non-technical partners.
• Design, implement, integrate, and document performant systems or components for data flows or applications at massive scales.
Qualifications: To be successful in this role, you should have:
• A graduate degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, management of information systems, engineering, economics, or equivalent.
• Experience in at least one programming language (Python, R, Hive, Java, Ruby, Scala/Spark, or Perl).
• Experience with SQL or other relational databases.
• Familiarity with big data technologies such as Hadoop, HDFS, Hive, Spark, and Kafka.
Salary and Benefits: This internship offers a competitive salary of $49-$60 per hour. You will also receive a comprehensive benefits package, including annual performance bonus, stock, and health insurance.
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