Posted on Oct 23, 2019 by eTeam Inc.
Role: Data engineer
Location: Lausanne, Switzerland
Duration: 6 months
A Data Engineer to join our growing team of analytics experts in F1 platform in Finance. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data architects and data analysts and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
This is NOT a leadership role but a hands on role, which is focused on L3 Production Support, solution implementation, following robust governance and assuring best practices are followed in a timely fashion.
We are looking for a candidate with 5+ 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.
Experience supporting and working with cross-functional teams in a dynamic environment.
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 and big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases
Experience with bash Scripting, GIT SVN, Jenkins and deployment tools like Nolio.
Experience with object-oriented/object function Scripting languages: Python, Java, C++, Scala, etc.