Thursday, 19 April 2018

Job requirement for Big Data Engineer

Job Title: Big Data Engineer
Location: Mountain View, CA

Duration: 6-12 months

·         Experience building and optimizing big data pipelines, architectures and data sets.

·         Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

·         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 3-6 years of experience in a Data Engineer 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, including Postgres and Cassandra.

·         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.

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