Job deadline is finished. This position is no longer accepting applications.

Data Engineer - Databricks & Big Data

Executive Search- Merojob

Kathmandu Full Time Posted 1 month, 2 weeks ago 93 views

NPR 160,000 - 200,000 monthly

IT & Technology

Job Description

An established IT company in Kathmandu, Nepal, represented by Executive Search- Merojob, is looking for a dynamic and skilled Data Engineer. This role offers an excellent opportunity to solve complex data problems and create a substantial technical footprint within a forward-thinking organization.

Core Responsibilities:

  • Architect, build, and maintain scalable batch and streaming data pipelines using Python, Apache Spark, and the Databricks Lakehouse architecture.
  • Develop reliable data solutions utilizing Delta Lake, Unity Catalog, Delta Live Tables (DLT), materialized views, and streaming tables.
  • Maximize execution speed, system scalability, and cloud compute cost efficiency across all data workloads.
  • Implement automated CI/CD deployment pipelines using Databricks Asset Bundles (DAB) with minimal reliance on manual UI steps.
  • Integrate data platforms with cloud storage like Amazon S3, external APIs, and varied data sources while establishing robust Data QA practices.
  • Leverage modern AI-driven coding assistants and agentic workflows to accelerate production velocity and maintain code quality.
  • Work closely with cross-functional teams to align technical data pipeline design with broad business objectives.

Immediate joiners or candidates available within 30 days are highly encouraged to apply.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, IT, or a related discipline.
  • Minimum of 4+ years of professional experience in Data Engineering (higher salary brackets available for lead-level candidates).
  • Strong proficiency in Apache Spark, Python, Spark SQL, Databricks Lakehouse, Delta Lake, and Unity Catalog.
  • Hands-on expertise with DevOps practices, CI/CD automated deployments via Databricks Asset Bundles (DAB), and YAML.
  • Solid track record of cloud integration with AWS S3, third-party APIs, and checkpointing.
  • Experience in performance tuning, compute allocation, cloud cost containment, and automated data quality validation.
  • Familiarity with AI-assisted engineering tools and LLM coding assistants.
  • Strong communication skills with the ability to bridge technical requirements and business context.

Required Skills

Apache Spark, Pipeline Optimization, Databricks Lakehouse, Databricks Asset Bundles (DAB), Data QA & Validation

Job Overview
Date Posted:
September 25, 2026
Application Deadline:
October 08, 2026 (Expired)
Experience Level:
Mid Level (3-5 years)
Education:
any
Vacancies:
1 position(s)
Job Category:
IT & Technology
Contact Information
Website:
Visit Website
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