Itransition - Data Engineer - Python/SQL/ETL

Job Description

Description

We are seeking an experienced Data Engineer to help scale a growing BI platform in the real estate industry. In this role, you will design and build robust, high-performance data pipelines grounded in strong data modeling principles.

Youll join a highly skilled development team working with a modern, progressive technology stack, while also exploring emerging technologies, including AI and ML, to continuously enhance the platforms and services we deliver to our customers.

What You'll Do

• Design and build ETL/ELT pipelines
• Optimize data workflows for performance, reliability, and maintainability
• Collaborate with BI analysts and stakeholders
• Write and optimize complex SQL & PySpark queries
• Implement data quality checks and monitoring to ensure data integrity
• Follow and promote data best practices and standards.
  
  

• 3+ years of hands-on experience as a Data Engineer
• Strong proficiency in SQL
• Proven experience designing, building, and maintaining ETL/ELT pipelines
• Solid knowledge of data modeling
• Experience with at least one orchestration tool (Azure Data Factory preferred; SSIS, Apache Airflow, AWS Glue, Talend, or similar)
• Experience with at least one relational database (Microsoft SQL Server, MySQL, PostgreSQL, Oracle, or DB2)
• Ability to optimize and tune OLAP and OLTP queries
• Experience working with cloud platforms (Microsoft Azure preferred)
• Familiarity with Git
• Experience with Python & PySpark
• Hands-on experience working in an Agile/Scrum development environment
• Upper-Intermediate English or higher (written and spoken)
  
  

• Exposure to modern cloud data platforms and reporting tools (e.g. Microsoft Fabric, Databricks, Snowflake, Power BI, Tableau)
• Experience designing scalable, high-performance data architectures
• Knowledge of data governance, data quality, and security best practices
• Experience with NoSQL databases (Azure Cosmos DB, Mongo, Cassandra, etc.)
• Experience with AI/ML data pipelines or analytics use cases
• Experience with unit and integration testing
• Experience working in the real estate or similar data-intensive domains
  
  

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Compensation of medical costs
• English courses online
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation, corporate sport competitions (cybersport included)