Qualifications for Data Engineer
● We are looking for a candidate with 3+ years of experience in a Data Engineer role. Having a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field is a plus. They should also have experience using most of the following software/tools/platforms:
● Strong project management and organizational skills.
● A successful history of manipulating, processing and extracting value from large disconnected datasets.
○ Experience with relational SQL and NoSQL databases.
○ Experience with object-oriented/object function scripting languages such as Python, Java, C++, Scala, etc.
○ Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi, etc.
● Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
● Build processes supporting data transformation, data structures, metadata, dependency and workload management.
○ Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
○ Experience with GCP/AWS/Azure cloud services.
● Able to understand various data structures and common methods in data transformation
○ Experience with big data tools: Hadoop, Spark, Kafka, etc.
● Experience supporting and working with cross-functional teams in a dynamic environment.
● Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
○ Experience with stream-processing systems: KSQL, Spark-Streaming, etc.
● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
● Strong analytic skills related to working with structured and/or unstructured datasets.
• Having Data Engineer certification from major cloud providers is a plus.
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