Expert Data Architect for Scalable Solutions

11 hours ago


Remote, Czech Republic N-iX Full time

Company Overview

N-iX is a software development service company with a rich history, leveraging Eastern European talent to serve Fortune 500 companies and tech startups. We operate in multiple countries and employ over 2,000 professionals. Our Data and Analytics practice specializes in data strategy, governance, and platforms, shaping the future for our clients.

Job Description

We are seeking an Expert Data Architect with expertise in Databricks, DBT, and Python to help us build and maintain efficient, scalable, and reliable data pipelines. The ideal candidate will have a strong background in data engineering, a deep understanding of data architecture, and the ability to work collaboratively with cross-functional teams to deliver impactful data solutions.

Required Skills and Qualifications

  • Data Engineering: Extensive experience with Databricks, including ETL processes and data migration. Certification as Databricks Engineer is preferred.
  • DBT and Python: Proficiency in using DBT (Data Build Tool) for transforming data in the warehouse (Snowflake, Databricks) and advanced programming skills in Python for data processing, ETL, and integration tasks.
  • Data Architecture: Strong knowledge of data modeling and schema design for relational and non-relational databases.
  • Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or GCP.
  • SQL and Security: Strong knowledge of SQL for querying and manipulating data, and knowledge of popular data standards and formats (e.g., Delta Lake, Iceberg, Parquet, JSON, XML, etc).

Benefits

  • Career Growth: Personalized career growth opportunities.
  • Knowledge Sharing: Active tech communities with regular knowledge sharing.
  • Flexible Working Hours: Flexible working format - remote, office-based or flexible.

Others

This role involves designing and developing data pipelines, collaborating with data scientists and analysts, implementing best practices for data quality, security, and governance, and optimizing performance of data processing and storage solutions.



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