TL;DR

Analytics Engineer: Building and maintaining data models and pipelines to provide clean, accurate datasets and empower business stakeholders with an accent on data transformation, quality, and availability. Focus on designing Kimball dimensional models, implementing efficient data pipelines using dbt, and leveraging cloud-based data platforms.

Location: Lisbon, PT

Company

%hirify_global% is a global leader in games and one of the world's biggest developers and publishers of mobile games, with a mission of unleashing the gamer in everyone.

What you will do

Collaborate with business stakeholders to translate requirements into accurate data models.
Bridge the data gap between data analysts/scientists and data engineers.
Develop and implement efficient data pipelines using tools like dbt.
Continuously learn and stay up-to-date with emerging data technologies.

Requirements

Experience with SQL data querying and manipulation.
Experience in designing, implementing, and maintaining Kimball dimensional models.
Familiarity with data transformation tools like dbt core or dbt Cloud.
Experience with data warehousing in tools such as Redshift, BigQuery, or Snowflake.
Experience with cloud-based data platforms such as AWS, Azure, or GCP.
Excellent communication and analytical skills.

Nice to have

Python scripting experience.
Experience with Data Vault.
Experience with orchestration tools like Airflow.
Experience with Apache Spark or Databricks.
Experience with IaC tools such as Terraform or Cloud Formation.