Data Engineer (Python)

TL;DR

Data Engineer (Python): Building and optimizing data ingestion and processing systems with an accent on ETL/ELT, data warehousing, and pipeline orchestration. Focus on designing scalable data solutions using cloud platforms like AWS and Azure, and managing data workflows with tools like Apache Airflow and Dagster.

Company

hirify.global is a company that values proactive, dedicated, and passionate individuals, offering a psychologically safe and transparent work environment.

What you will do

• Work on a wide range of projects, applying software engineering principles to data solutions.
• Design, implement, and optimize data ingestion, processing, and warehousing systems.
• Develop and manage robust ETL/ELT pipelines using orchestration tools like Apache Airflow and Dagster.
• Leverage cloud platforms (AWS, Azure) to build scalable data infrastructure.
• Collaborate with diverse teams to expand knowledge and proficiency in various technologies.

Requirements

• 2+ years of experience as a Software Engineer.
• Strong understanding of data engineering concepts (data ingestion, processing, ETL/ELT, data warehousing).
• Good knowledge of relational data modeling (normalization, star/snowflake schema) and SQL.
• Familiarity with data pipeline orchestration tools (Apache Airflow, Dagster) and cloud platforms (AWS, Azure).
• Understanding of the Git version control system.
• English: B2 required.

Nice to have

• Strong foundation in Python programming.

Culture & Benefits

• Psychologically safe, transparent, and flat organizational structure.
• Private health insurance (with family/partner option).
• In-house lectures, paid training programs, and foreign language courses.
• Ability to convert overtime hours into additional day(s) off.
• FitLife program, team-building events, and travel opportunities.
• Subsidized daily meals, fresh fruits, refreshments, and Privilege Card.
• Inclusion of family/partner in company activities.