Requirements

Expected technologies

Microsoft Azure

Google Cloud Platform

AWS

Python

SQL

Optional technologies

PostgreSQL

Microsoft SQL Server

Apache Spark

Databricks

Azure DevOps

Apache Airflow

Our requirements

• 1+ years of experience delivering data warehouse, data lake, or business intelligence solutions.
• Experience with cloud services such as Azure, AWS, or GCP.
• Proficient in Python for data-related tasks.
• Strong understanding of SQL, including data analysis and working with relational databases (e.g., SQL Server, PostgreSQL).
• Basic knowledge of public cloud architecture, security, and networking concepts (MS Azure experience preferred).
• Familiarity with data warehouse modeling practices and ETL/ELT development.
• Strong conceptual and analytical skills to solve data-related challenges.

Optional

• Experience with Apache Spark or Databricks platform.
• Experience with Azure DevOps environment.
• Experience with Apache Airflow.

Your responsibilities

• Implementing, and optimizing modern cloud-based solutions.
• Building and launching new data models and data pipelines.
• Implementing best practices in data engineering including data integrity, quality, and documentation.
• Optimization of existing analytical solutions.
• Leading small size teams of engineers and being a role model.