As a Senior Data Engineer, you will own the data warehouse modeling and production-grade data pipelines, which target corporate process efficiency and customer value maximization.
You Will Be Responsible For The Following
Design, Develop, and Optimize a large-scale DATA platform.
Data Warehouse Dimensional and Entity-Relationship Data Modeling.
Design and Build production-grade end-to-end robust data pipelines (batch or streaming).
Essential
YOUR PROFILE:
Bachelor / Master of Science, relevant degree, and/or equivalent work experience.
Hands on experience in data modeling, processing and migration projects using Distributed, Relational, NoSQL, and/or Time Series Databases; ETL Toolboxes, Object Stores, and/or APIs.
Excellent SQL skills and hands-on experience with Cloud and/or On-Premise DB ETL Stack.
Proficiency in at least one relevant DATA programming and/or scripting language.
Well versed in GIT, DevOps, DataOps, Data Quality “Unit Tests” and/or CI/CD deployments.
Comfortable working in distributed teams through Agile Methodologies. Fluent in English.
Willingness for Lifelong Continuous Learning, to become the corporate technical expert.
Desirable
Proficiency in SQL Server, SSIS and SSAS (OLAP Cubes).
Proficiency in Apache Spark and Delta Lake.
Proficiency in Infrastructure to support containerization, including Kubernetes and Docker. Strong Knowledge of Python. Good to have Javascript and/or Scala.
Strong Knowledge on Workflow Orchestration tools, such as Argo and/or Airflow.