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Job Description
Softermii is seeking a Data Engineer to join their team and work on a Hotel Business Management solution. The Data Engineer will be responsible for developing and maintaining scalable data pipelines using Databricks (Apache Spark) for batch and streaming use cases. They will collaborate with data scientists and analysts to provide reliable, performant, and well-modeled data sets for analytics and machine learning.

Responsibilities include:
  • Developing and maintaining scalable data pipelines using Databricks (Apache Spark).
  • Optimizing and managing data workflows using Databricks Workflows.
  • Designing and implementing data ingestion frameworks.
  • Ensuring data quality, lineage, and governance.
  • Collaborating with cross-functional teams.
  • Applying data engineering best practices.

Requirements:
  • 3+ years of experience in data engineering or big data development on the Databricks platform.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proficiency in Python (or Scala) and SQL.
  • Hands-on experience with Apache Spark, Delta Lake, and Databricks Notebooks.
  • Familiarity with Databricks Workflows, Unity Catalog, and Delta Live Tables.
  • Solid understanding of data lakehouse architecture.
  • Experience integrating data from cloud sources like AWS S3.
  • Knowledge of orchestration tools and CI/CD practices.
  • Strong communication and collaboration skills.
  • Upper-Intermediate English level.

Softermii offers:
  • Stable and highly-functioning processes.
  • Independence in decision-making.
  • A team of like-minded experts.
  • Professional development opportunities (courses, conferences).
  • Individual development plan and mentoring.
  • Referral bonus system.
  • 21 working days off.
  • 5 sick leaves a year.
  • Flexible working day and remote work options.
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