Requirements

Expected technologies

Microsoft Azure

Python

SQL

Databricks

Optional technologies

PostgreSQL

Microsoft SQL Server

Apache Spark

Azure DevOps

Apache Airflow

Operating system

Windows

Our requirements

• 4+ years of experience delivering complex data warehouse / data lake / business intelligence solutions.
• 2+ years of experience working with cloud services (Azure / GCP / AWS).
• Knowledgeable and experienced 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 – the ability to define, analyze and document complex business and technical requirements.

Optional

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

Your responsibilities

• Designing, 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.