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

• 2+ years of experience delivering complex data warehouse / data lake / business intelligence solutions.
• 1+ years of experience working with cloud services (Azure / GCP / AWS).
• Knowledgeable in Python.
• Experience in SQL and data analysis, knowledge of relational databases (preferably SQL Server, PostgreSQL).
• Knowledge of public cloud architecture, security, networking concepts and best practices (MS Azure preferred).
• Knowledge of DWH data modeling practices and ETL/ELT development.
• Conceptual and analytical skills.

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.