Job Title: Senior DevOps/Data Engineer

Company Name: Intetics Inc.

Job Url: https://builtin.com/job/devops-data-engineer/8992703

Job Description: 
Intetics
DevOps/Data Engineer
Job Posted 5 Hours Ago Posted 5 Hours Ago
6 Locations
Remote
Senior level
Artificial Intelligence • Blockchain • Internet of Things • Machine Learning • Software
The Role
Responsible for designing, building, and maintaining scalable ETL/ELT pipelines and data models while ensuring data quality and performance. Collaborate with analysts and stakeholders to support business needs and manage data workflows in production environments.
Summary Generated by Built In
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.
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.
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.
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.
Bring strong hands-on experience with Snowflake.
Experience working in a data engineering team, building data warehouses and pipelines.
Pharma domain experience: nice to have.
Capability of working independently and eagerness to continuously develop skills and knowledge.
Requirements
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
Pharma experience is a plus but not mandatory.
Be available during working hours (9 am - 6 pm. CET)

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Top Skills
AWS
Ci/Cd
Cloud Infrastructure
Data Warehouses
Data Workflows
Docker
Elt
ETL
Git
Snowflake
Terraform
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