Big Data Engineer - Hadoop- Level 2
Posted on Feb 14, 2020 by Gazelle Global Consulting
Big Data Engineer (Hadoop Level 2 )
6months + Contract
My client is looking for a Big Data Engineer (Hadoop Level 2) based in Zurich (Switzerland).
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional/non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work closely with the infrastructure team for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Sqoop, Rest API, file based and Kafka
Qualifications for Data Engineer
Candidate must be from Java background and experienced working in big data platform.
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.
Must have experience in operating in an agile and Devops environment.
Must have experience setting up Continues Integration and deployment process.
Experience with Java, Scala, Kotlin and big data tools: Hadoop, Spark, Kafka, Hive, Impala etc.
Experience with relational and NoSQL databases
Experience with bash Scripting, GIT SVN, Jenkins, Team city and deployment tools like Nolio.
Experience with object-oriented/object function Scripting languages: Python, Java, C++, Scala, etc.
Experience in DevOps tools like Docker, Kubernetes, Gradle, Maven etc.
Experience in Hadoop platform like Cloudera, Hortonworks etc platform. Experience in debugging and monitoring Hadoop cluster.
Experience in TDD, BDD driven development using automated testing framework like Junit, Cucumber, Scala test, Mockito etc.
Experience in working with Agile methodologies like Scrum, Kanban etc. Also expertise in using tools like JIRA etc.
Experience in live streaming data processing using Spark streaming, Apache Flume etc.
Experience in performance tuning in Database as well as programming languages using different tools.
Experience in resource manager like YARN. Also experience in different HDFS file formats