Job Description :
u>Data Engineers:/u>

Glider test: Data Engineer

Notes:

Going to be integrating with teams that are already running

5+ years of experience

Migrating legacy platform to the cloud platform

Migrating and modernizing in AWS

For example: Ab Initio – reverse engineering and bringing back to the cloud

ul>
li>Ab initio is a big legacy platform that they have modernized for/li>
/ul>

Skillset:

Language: Python/Scala/Java

ul>
li>Python is required/li>
li>Pyspark is a big one to have/li>
/ul>

Spark or Scala – required

Analytics of data

ul>
li>Analyzing results to compare with the legacy platforms/li>
li>Being engraved in the Data/li>
/ul>

AWS – EC2, EMR, Lambda

CI/CD – nice to have

ul>
li>Jenkins, and various deployment pipelines/li>
/ul>

Data Engineer Job Description for Data Transformation:

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. They should also have working experience using the followingu>/u>software/tools:

? Experience with data pipeline and workflow management tools:

? Experience with AWS cloud services: S3, EC2, EMR, RDS, Redshift

? Experience with stream-processing systems: Storm, Spark-Streaming, etc.

? Experience with object-oriented/object function scripting languages: Python,

Java, C++, PySpark, Scala, etc.

Responsibilities for Data Engineer:

? Create and maintain optimal data pipeline architecture,

? Assemble large, complex data sets that meet functional / non-functional businessu>/u>requirements.

? Build analytics tools that utilize the data pipeline to provide actionable insights intocustomer acquisition, operational efficiency and other key business performance metrics.

? Work with stakeholders including the Executive, Product, Data and Design teams tou>/u>assist with data-related technical issues and support their data infrastructure needs.

? Keep our data separated and secure across national boundaries through multiple datau>/u>centers and AWS regions.

? Create data tools for analytics and data scientist team members that assist them inu>/u>building and optimizing our product into an innovative industry leader.

Qualifications for Data Engineer

? Advanced working SQL knowledge and experience working with relational databases,u>/u>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 processesu>/u>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, dependencyu>/u>and workload management.

? A successful history of manipulating, processing and extracting value from largeu>/u>disconnected datasets.

? Working knowledge of message queuing, stream processing, and highly scalable ‘bigdata’ data stores.