Dlytica Nepal

Software Companies

Data Engineer

Views: 1512|Published on: Aug 26, 2026|

IT & Telecommunication

Senior Level

Full Time

Vacancy: 5

Kathmandu ( Hybrid)|

Experience: More than 3 years|

Not Disclosed

Job Description

Roles and responsibilities of this job

Dlytica Nepal is seeking talented Data Engineers to join its growing Data & AI team. The selected candidates will work on the DataNature Sovereign AI Lakehouse, AI360 Studio, and enterprise data projects for clients across North America, Nepal, and the Middle East.

The role involves designing scalable data solutions, developing modern data pipelines, working with cloud technologies, and collaborating with international clients and technical teams to deliver high-quality data engineering solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT solutions.
Work extensively with Databricks, PySpark, Spark SQL, Python, Delta Lake, and Unity Catalog.
Develop and manage data workflows using Apache Airflow and cloud platforms.
Implement version control, Git workflows, and CI/CD practices.
Build reliable and optimized data processing solutions for enterprise projects.
Collaborate with technical teams, project managers, and international clients.
Participate in requirement gathering, technical discussions, solution design, and project delivery.
Troubleshoot data pipeline and processing issues and ensure data quality and reliability.
Follow best practices for security, scalability, performance, and maintainability.

Job Specification

Required qualifications for this job

Required Education Level:Under Graduate (Bachelor)

Required Experience:More than 3 years

Other Specification

Required Skills

Databricks , PySpark & Spark SQL , Python, Delta Lake & Unity Catalog, ETL/ELT, Apache Airflow, Cloud Platforms – AWS / Azure / GCP, Git & CI/CD
Strong analytical and problem-solving skills
Communication & Client-Facing Requirements
Strong professional English communication skills are mandatory.
Ability to communicate effectively with international clients and stakeholders.
Ability to participate confidently in technical discussions and project meetings.
Client-facing and project delivery experience will be an advantage.

Preferred Experience

Experience: 3–5 years after Bachelor’s degree
Senior/Lead: 8+ years after Bachelor’s degree
Experience working on enterprise-level data engineering projects.
Exposure to international clients and distributed teams.
Experience in consulting, solution delivery, or client-facing environments.
Strong understanding of modern data engineering architecture and practices.
Ability to independently analyze requirements and develop effective technical solutions.

What We’re Looking For

We are looking for professionals who are technically strong, analytical, collaborative, and comfortable working in an international project environment. Candidates should have a strong willingness to learn, solve complex data problems, and contribute to high-quality project delivery.

Salary & Benefits

Salary: Negotiable based on qualifications and experience
SSF: Social Security Fund (SSF) benefits as per company policy
Lunch: Lunch facility provided by the company
Other Benefits: As per company rules and policies

Note: Only shortlisted candidates will be contacted.This position is open to candidates at both Mid-Level and Senior/Lead levels.

Skills Required

Required skills for this job

Python

Pyspark

Databricks

Spark Sql

Delta Lake

Salary

Offered financial and non-financial compensation for this job

Offered Salary:Not Disclosed

Applying Procedure

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Apply Before: Aug 28, 2026

About the organization

Dlytica Nepal

Software Companies

Balkumari

Dlytica Nepal is a technology and consulting company specializing in Data, AI, Analytics, Cloud, and automation solutions. As an ISO-certified organization, Dlytica specializes in delivering Data Strategy, Architecture, and comprehensive solutions for AI and Analytics, helping organizations transform complex data into actionable business insights.

Its services include Big Data Analytics, Business Intelligence, Data Architecture, Data Warehousing, Artificial Intelligence, Generative AI, IoT, RPA, Cloud solutions, and data/AI consulting and training. Dlytica serves industries including banking, telecommunications, insurance, healthcare, retail, and manufacturing, with operations across North America and Nepal.

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