Position: Data Engineer
Company: Zoolatech
Category: Data Engineer
Experience required: 3y
English level: intermediate

These are the technologies used in our project: Java, Spark, Kafka, Airflow, Hadoop cluster, AWS, TeraData, Tableau


Responsibilities
Support the development and evolution of our data warehouse and BI platform.

Partner with the BI Manager, Data and BI Engineers, Program Managers, and Analysts on building a best-in-class suite of tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions.

Design and implement modernized ETL and data processing solutions through modernized cloud-based solutions (S3, Redshift, etc) and deprecate legacy on-premise solutions (Oracle, etc)

Develop data integration solutions leveraging multiple disparate sources.

Continual performance tuning and capacity planning for future growth potential.

Integrates broad working knowledge in related disciplines to create integrated technical innovations/ solutions for complex business situations


Skills Required
Must have:

Classical Data Warehouse, Data structures, Data marked, Data profiling

5+ years of experience writing advanced SQL

Experience with one of Java, Python or Scala

ETL

Basic experience with BigData

 

Nice to have:

Experience with Spark

Experience with Teradata

Cloud Computing Experience (e.g AWS, GCP, Azure)

Experience with Hadoop