Bigdata Engineer

JD

Qualifications for Data Engineer
● Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● 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 unstructured datasets.
● Build processes supporting data transformation, data structures, metadata, dependency and workload management.
● A successful history of manipulating, processing and extracting value from large disconnected datasets.
● Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
● Strong project management and organizational skills.
● Experience supporting and working with cross-functional teams in a dynamic environment.
● We are looking for a candidate with 6-9 years of experience in a Data Engineering role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
○ Experience with big data tools: Hadoop, Spark, Kafka, etc.
○ Experience with relational SQL and NoSQL databases
○ Experience with data pipeline and workflow management tools
○ Experience with AWS cloud services: EC2, EMR, RDS, Redshift
○ Experience with stream-processing systems: Storm, Spark-Streaming, etc.
○ Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.