A successful BI Data Engineer / Data Modeler will create new data solutions while supporting and enhancing existing ones.
Youll design, develop, and implement business requirements into actionable insights that will serve multiple stakeholders in the organization.
This position offers an opportunity to build insightful data solutions in a rich data environment over big data technologies.
Create real value from data and communicate it to the different stakeholders.
Manage a data structure & model, which supports and reflects the actual business model.
Own and manage multiple BI initiatives and projects both on an ongoing and an ad-hoc basis.
Design, build, and test end-to-end Data models, Data flows, and data enrichment processes.
Become a focal point for all data-related matters in the organization.
Youll design, develop, and implement business requirements into actionable insights that will serve multiple stakeholders in the organization.
This position offers an opportunity to build insightful data solutions in a rich data environment over big data technologies.
Create real value from data and communicate it to the different stakeholders.
Manage a data structure & model, which supports and reflects the actual business model.
Own and manage multiple BI initiatives and projects both on an ongoing and an ad-hoc basis.
Design, build, and test end-to-end Data models, Data flows, and data enrichment processes.
Become a focal point for all data-related matters in the organization.
Requirements:
A bachelors degree in a Computer Science/Information systems-related field is required.
6+ years experience as a BI developer / Data Engineer in a Big Data environment.
3+ years of experience in designing and modeling DWH models.
Scripting capabilities with Python.
Experience in SQL tuning and ETL process improvements.
Proficient in DWH methodologies and best practices.
Highly skilled with SQL.
Experience transforming data into visual insights and building dashboards in a BI platform (e.g. Tableau, QlikView, etc.)
Great analysis abilities, energetic and fast learning with a make it happen approach.
2+ years experience in a tech leadership role
Experience with Snowflake – a big advantage
Experience with Airflow (or other open-source data pipelines) – a big advantage
Experience with CI/CD processes in Jenkins – an advantage
Databricks, Kafka, Spark, Ansible, Docker – an advantage
A bachelors degree in a Computer Science/Information systems-related field is required.
6+ years experience as a BI developer / Data Engineer in a Big Data environment.
3+ years of experience in designing and modeling DWH models.
Scripting capabilities with Python.
Experience in SQL tuning and ETL process improvements.
Proficient in DWH methodologies and best practices.
Highly skilled with SQL.
Experience transforming data into visual insights and building dashboards in a BI platform (e.g. Tableau, QlikView, etc.)
Great analysis abilities, energetic and fast learning with a make it happen approach.
2+ years experience in a tech leadership role
Experience with Snowflake – a big advantage
Experience with Airflow (or other open-source data pipelines) – a big advantage
Experience with CI/CD processes in Jenkins – an advantage
Databricks, Kafka, Spark, Ansible, Docker – an advantage
This position is open to all candidates.
