Mid-Level Data Engineer

About the Role

At Dlytica, we’re building modern data solutions that power industries across banking, telecom, and government. We’re looking for a Mid-Level Data Engineer who is passionate about designing, building, and optimizing scalable data pipelines — and eager to grow in a collaborative, agile environment.

This role offers you the chance to work hands-on with large-scale data systems, modern cloud infrastructure, and real business challenges. You’ll be joining a dynamic team that values innovation, mentorship, and impact.

What You’ll Work On

• Design and develop robust ETL/ELT pipelines for structured and unstructured data
• Optimize data workflows for performance, reliability, and scalability
• Integrate data from diverse sources and deliver to downstream systems
• Collaborate with data scientists, analysts, and clients across sprint-based projects
• Support cloud deployments and automate data processes using orchestration tools

Our Tech Stack

• Programming: Python, SQL
• Data Tools: Apache Spark, Airflow
• Cloud: AWS or Azure
• Pipelines: ETL/ELT automation
• Development Approach: Agile/Scrum with sprint cycles

What We’re Looking For

• Minimum 1 year of professional experience in data engineering or a related role
• Strong understanding of data pipelines, cloud platforms, and orchestration tools
• Experience working with big data tools like Spark or Airflow
• Familiarity with cloud services (AWS or Azure preferred)
• Comfortable in a fast-paced, agile work environment
• Excellent communication skills in English
• Bonus: Experience working on international or client-facing projects

Why Join Dlytica?

• Work on real-world, high-impact data projects
• Collaborate with global clients and cross-functional teams
• Continuous learning through mentorship and innovation-driven culture
• Be part of a company shaping Nepal’s data-driven future