Data Engineer (AWS)

TL;DR

Data Engineer (AWS/Python): Crafting and shaping data platforms, building and optimizing end-to-end data pipelines for actionable insights with an accent on data cleansing, normalization, and transformation. Focus on developing data infrastructure, ensuring data quality, and driving strategic decisions.

Location: Hybrid, requiring a minimum of 2 days per week at hirify.global's Medellín office, Colombia.

Company

hirify.global designs, builds, manages, and modernizes mission-critical technology systems for Fortune 100 clients globally.

What you will do

• Design and build end-to-end data pipelines for various data sources and transformations.
• Engineer the backbone of data infrastructure, ensuring pristine and refined data sets.
• Uncover data quality issues and initial insights, converting business objectives into data puzzles.
• Cleanse, normalize, and transform raw data into final datasets using expertise in ETL.
• Scrutinize data solutions to align with business and technical requirements, maintaining data freshness and impact.

Requirements

• Minimum 4 years designing and building data pipelines using Databricks, AWS Glue, or Google Dataproc.
• Experience as a Data Engineer or leading cloud modernization (AWS preferred; Azure/GCP accepted).
• Hands-on automation with Ansible for data workflows, integrated with CI/CD.
• Development experience in Java and Python for data engineering and automation, including Airflow, PySpark, SQLAlchemy, and pytest.
• Strong ETL and data storage expertise with PostgreSQL, DB2, MongoDB.
• Experience with Big Data processing and building Power BI dashboards.

Nice to have

• Data Modeling (conceptual/logical) aligned to business processes and service KPIs.
• Professional cloud certifications (AWS, Google Cloud, Azure, Elastic).
• Collaboration tooling (GitHub/GitLab) and IDEs (Visual Studio); experience with CI/CD and IaC.

Culture & Benefits

• Opportunities for career growth, hands-on experience, and learning.
• Access to certifications across major platforms (Microsoft, Google, Amazon, Skillsoft).
• Diverse and inclusive workplace with hirify.global Inclusion Networks.
• Support for employee well-being and benefits reflecting diversity.
• Company-wide volunteering and giving platform.