Data Scientist

TL;DR

Data Scientist (Python/SQL): Designing and optimizing scalable data solutions for analytics, reporting, and advanced data-driven initiatives with an accent on ETL/ELT pipeline architecture, data modeling, and automation. Focus on building data lakes and data warehouses, enabling efficient data consumption for BI and APIs, and solving performance and reliability issues in production data workflows.

Company

hirify.global is an IT consultancy firm delivering software solutions across AI/ML, BI, Web, and automation for multiple industries.

What you will do

• Design and develop ETL/ELT pipelines and scalable data workflows.
• Build and optimize data models, data lakes, and data warehouse solutions.
• Implement data pipeline automation using CI/CD practices.
• Monitor data jobs and troubleshoot failures or performance issues.
• Enable data consumption for BI tools, dashboards, analytics teams, and APIs.
• Process structured and semi-structured datasets (CSV, JSON, Parquet, etc.) and optimize for analytics, reporting, and scalability.

Requirements

• Strong experience with data engineering concepts, ETL/ELT design, and data modeling.
• Advanced proficiency in Python and strong SQL skills for data transformation and analysis.
• Experience designing and managing data lakes and data warehouses.
• Experience working with structured and semi-structured data formats.
• Understanding of CI/CD practices and data pipeline automation.
• Ability to work effectively with technical and business stakeholders.

Culture & Benefits

• Full remote work arrangement.
• Full-time contract.
• Work with cross-functional teams to support business and analytical needs.