Data Engineer

TL;DR

Data Engineer (Data Pipelines): Designing and developing a platform to fulfill business needs and improve systems with an accent on data modelling and ensuring data quality. Focus on designing new data pipelines, maintaining platforms hosted on data streams, and troubleshooting incidents.

Location: Must be based on-site in the office on Mondays , Wednesdays and Fridays and have the opportunity to work from home on Tuesdays and Thursdays

Company

hirify.global is an international company with more than 2,800 colleagues representing over 75 nationalities across 21 offices worldwide.

What you will do

• Maintain and evolve the existing data platform.
• Mentor engineers on data modelling following standards.
• Ensure data quality by verifying data consistency and accuracy.
• Keep up to date on research and development of new technologies and techniques.
• Troubleshoot and solve problems and incidents.
• Document processes and perform knowledge sharing sessions.

Requirements

• Knowledge on AWS Services like S3/Lambda/Glue/DMS/RDS.
• Experience with Snowflake or Redshift.
• Experience with cost-efficient SQL designs and query optimization.
• Experience with orchestrating data pipelines using tools like Airflow.
• Familiarity with object-oriented programming and abstraction principles.
• Experienced in Data Warehousing concepts and data modelling techniques.

Nice to have

• Proficient in data streaming technologies such as Kafka.
• Experienced with software versioning tools like GIT.
• Skilled in infrastructure scripting using Terraform.
• Hands-on expertise in data monitoring and visualization tools.
• Experienced in scripting with PowerShell and Unix.

Culture & Benefits

• Hybrid working environment.
• Opportunity to connect with colleagues both in person and colleagues from international hubs.
• Fast-paced and exciting work environment.
• Diverse, international team.