Description:

As a Semi Senior Data Engineer, you will lead the building of a new business intelligence data stack.
You will design and implement solutions such as data pipelines, data warehouses, data models, and data analytics for internal users.
Your role will involve leading technical discussions and decisions to generate high-quality business and product insights.
You will work in a fast-paced environment alongside smart, driven individuals, with opportunities for growth.
The company values learning and agility, constantly seeking ways to improve and welcome new tools and languages.
Specific responsibilities include working with roughly defined requirements to build effective solutions, building infrastructure for self-service insights, collaborating with other business areas, implementing analytics solutions, following agile methodology, and leading initiatives from inception to delivery.

Requirements:

Strong analytic skills related to working with unstructured datasets, including building processes for data transformation and management.
Experience with GCP cloud services such as Dataflow, GCS, BigQuery, and GKE.
Familiarity with orchestration tools like Airflow, Dagster, and Prefect.
Experience in building big data pipelines using tools like Databricks Workflows, DBT, and SQLMesh.
Knowledge of data fundamentals theories, including Incremental Loading, Medallion Architecture, and data modeling.
Proficiency in SQL and NoSQL databases, including Postgres and MongoDB.
Understanding of data lake and data warehousing solutions such as Databricks, GCS, S3, Redshift, and BigQuery.
Knowledge of stream-processing systems like Storm and Spark-Streaming.
Proficiency in object-oriented or functional scripting languages such as Python, Java, or Scala.
Good communication skills to identify and communicate data-driven insights.
Ability to work with a high degree of autonomy.
At least a B2 conversational English level is required.

You will have the opportunity to work in a fun and collaborative environment.
The position offers opportunities for professional growth and development.
The company encourages learning and the adoption of new tools and languages to improve work processes.
You will be part of a rapidly growing company, contributing positively to its culture and success.