DevOps/Data Engineer

Intetics

1d

About The Position

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Senior DevOps/Data Engineer to join our dynamic team on a full-time basis.
Role Overview
Beyond the strong technical skills, we’re looking for someone who enjoys being part of a team while also being comfortable working independently.
The ideal candidate is proactive, takes ownership of their work, and is naturally curious: someone who enjoys learning, improving, and staying engaged with what they do.
We value people who are genuinely interested in their work and motivated to contribute, not just execute tasks.

Requirements

• Have strong practical experience with AWS.
• Comfortable working with Git and modern development workflows.
• Familiarity with cloud infrastructure and tools such as Terraform or Docker.
• Bring strong hands-on experience with Snowflake.
• Experience working in a data engineering team, building data warehouses and pipelines.
• Capability of working independently and eagerness to continuously develop skills and knowledge.
• Must to have relevant experience wih Snowflake
• Must to have relevant experience with ETL/ELT pipeline
• Must to have relevant experience with data pipelines in production
• Must to have relevant experience with data warehouse
• Must to have relevant experience with data workflows
• Must to have relevant experience with Data Platform
• Must to have relevant experience with DevOps
• Must to have relevant experience with cloud infrastructure
• Must to have relevant experience with Terraform or Docker
• Must to have relevant experience with CI/CD
• Must to have relevant experience with AWS
• Must to have relevant experience with GIT
• Must to have relevant experience with modern development workflows
• Be available during working hours (9 am - 6 pm. CET)

Nice To Haves

• Pharma domain experience: nice to have.

Responsibilities

• Design, build and maintain scalable ETL/ELT pipelines and data models in
• Ensure data is reliable, high-quality, and performs well across different workflows.
• Monitor pipelines, troubleshoot issues and continuously improve performance.
• Work closely with data analysts, BI developers and other stakeholders to understand and support business needs.
• Take ownership of deploying and operating data pipelines, including CI/CD processes and releases.
• Own the stability and performance of data workflows in production environments.
• Contribute to automation, as well as monitoring, logging and alerting for data workflows. Support environment management and ensure smooth operation of data pipelines in production.
• Support environment management and ensure smooth operation of data pipelines in production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed