Tecknoworks
SaaS • Artificial Intelligence • Enterprise
Tecknoworks is a leading technology company that provides innovative cloud solutions, AI business solutions, and data analytics services. With a strong focus on Microsoft Azure, Tecknoworks delivers customized solutions to empower businesses through digital transformation. The company's expertise spans across software and app development, process automation, and the integration of AI tools, ensuring comprehensive cloud-based automation and data management. Tecknoworks is also recognized for its robust data security, compliance, and strong partnerships with Microsoft, offering services tailored for healthcare, business intelligence, and various industries looking to enhance their operational capabilities through cutting-edge technology.
Data Engineer - Turning Raw Data into Gold
Job not on LinkedIn
April 26
Tecknoworks
SaaS • Artificial Intelligence • Enterprise
Tecknoworks is a leading technology company that provides innovative cloud solutions, AI business solutions, and data analytics services. With a strong focus on Microsoft Azure, Tecknoworks delivers customized solutions to empower businesses through digital transformation. The company's expertise spans across software and app development, process automation, and the integration of AI tools, ensuring comprehensive cloud-based automation and data management. Tecknoworks is also recognized for its robust data security, compliance, and strong partnerships with Microsoft, offering services tailored for healthcare, business intelligence, and various industries looking to enhance their operational capabilities through cutting-edge technology.
📋 Description
• Tecknoworks is a global technology consulting company. • We are seeking highly skilled and motivated Data Engineers to join our growing data team. • The ideal candidates will be responsible for building and maintaining scalable data pipelines, managing data architecture, and enabling data-driven decision-making across the organization. • The roles require hands-on experience with cloud platforms, specifically AWS and/or Azure, including proficiency in their respective data and analytics services. • Location: Romania (Remote) • Contract type: Employment or collaboration contract
🎯 Requirements
• Design, develop, and maintain robust and scalable data pipelines to ingest, transform, and store data from diverse sources. • Optimize data systems for performance, scalability, and reliability in a cloud-native environment. • Work closely with data analysts, data scientists, and other stakeholders to ensure high data quality and availability. • Develop and manage data models using DBT, ensuring modular, testable, and well-documented transformation layers. • Implement and enforce data governance, security, and privacy standards. • Manage and optimize cloud data warehouses, especially Snowflake, for performance, cost-efficiency, and scalability. • Monitor, troubleshoot, and improve data workflows and ETL/ELT processes. • Collaborate in the design and deployment of data lakes, warehouses, and lakehouse architectures. • Required Qualifications: • 3+ years of experience as a Data Engineer or in a similar role. • Strong proficiency in SQL and Python. • Solid understanding of data modeling, ETL/ELT processes, and pipeline orchestration. • Experience working in DevOps environments using CI/CD tools (e.g., GitHub Actions, Azure DevOps). • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow). • Familiarity with data cataloging tools like AWS Glue Data Catalog or Azure Purview. • Strong interpersonal and communication skills—able to collaborate with cross-functional teams and external clients. • Adaptability in fast-paced environments with shifting client needs and priorities. • Analytical mindset with attention to detail and a commitment to delivering quality results.
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