Junior Python Data Engineer (Azure)

TL;DR

Junior Python Data Engineer (Azure): Supporting ETL/ELT development and data pipeline implementation for investment data in a hybrid cloud environment with an accent on data transformations and reporting. Focus on data validation, quality checks, and adherence to data governance and security standards.

Location: Remote

Company

hirify.global is a global software engineering firm.

What you will do

• Assist in developing and maintaining data pipelines using Azure Data Factory and Microsoft Fabric.
• Write and modify SQL queries to support data transformations and reporting.
• Develop Python scripts for data processing and transformation tasks.
• Support Spark / PySpark workflows under the guidance of senior engineers.
• Participate in ETL/ELT implementation and testing.
• Collaborate with team members to understand business data requirements.

Requirements

• 2 years of hands-on experience in SQL.
• 1–2 years of practical experience in Python for data processing.
• Basic experience with ETL or ELT processes.
• Exposure to Azure data services (Azure Data Factory or Microsoft Fabric preferred).
• Basic understanding of data warehousing concepts.
• Understanding of cloud-based development environments.

Nice to have

• Basic exposure to Spark or PySpark.
• Experience with MS SQL or PostgreSQL.
• Basic understanding of AWS services.
• Familiarity with Power BI.
• Exposure to CI/CD tools (e.g., Jenkins).
• Basic understanding of Docker.

Culture & Benefits

• As per the laws of your country vacation time.
• Health insurance policy for you and your loved ones.
• 10 days sick pay without a doctor's note, afterwards - as per the laws of your country.
• Time off for state holidays according to the official calendar, regardless of the client’s schedule.
• Pleasant environment with two large corporate parties and many small get-togethers for colleagues.
• Solving technical and everyday problems at work.