Must have

• Data engineering

• Databricks

• Data pipelines

• UNITY

• Big Data

• Python

• SQL

• ETL

• Data modeling

• Cloud platform

• AWS

• GCP

• Relational database

• Storage

• Data warehouses

• Data Lake

• Communication skills

• Kanban

• DevOps

• English

Requirements description

Requirements:

• Minimum 8 years of experience in Data Engineering
• At least 4 years of hands-on experience with Databricks, including services like data pipelines and Unity Catalog
• At least 2 years of experience working with Big Data technologies
• Proficiency in Python and SQL
• Solid background in data warehousing, ETL, distributed data processing, software engineering components, and data modeling concepts
• Strong analytical and problem-solving skills, particularly in a big data environment
• Experience with structured, semi-structured, and unstructured data
• Experience with at least one public cloud platform (Azure, AWS, or GCP)
• Strong knowledge of relational databases and non-relational storage design techniques
• Deep understanding of Data Marts, Data Warehouses, Data Lakes, and Data Mesh concepts
• Excellent English communication skills (verbal and written)
• Familiarity with Agile methodologies (Scrum, Kanban, etc.), DevOps, and CI/CD principles

Offer description

We’re looking for an experienced Senior Data Engineer to join our team. If you’re passionate about data, modern platforms, and solving complex problems at scale, this opportunity is for you.

Your responsibilities

1. You’ll work with cutting-edge data platforms
2. design and maintain large-scale data pipelines
3. collaborate with cross-functional teams to deliver high-quality data solutions.