Position Overview:
As a Middle Data Engineer, you will support the migration of legacy on-premises SQL Server data warehouse to a cloud-based Snowflake environment. The project involves integrating various data sources, refactoring ETL processes, and ensuring efficient, reliable data movement for analytics and reporting.
Responsibilities:

• Build and modify data pipelines to migrate data from SQL Server and other databases (Azure SQL, Oracle, Aurora) to AWS S3 and Snowflake.
• Refactor legacy ETL jobs (SSIS, Transact-SQL) for use in cloud environments.
• Implement data transformations and staging using dbt and/or similar tools.
• Optimize the performance and costs of cloud data processing and storage.
• Work collaboratively with client’s and N-iX engineers, ensuring smooth handoff and documentation.
• Participate in QA, testing, deployment, and post-migration validation.
  

Must-Have Technologies:

• Experience with cloud data warehouse technologies, including Snowflake and AWS S3.
• Solid SQL skills; experience migrating legacy environments to cloud platforms.
• Familiarity with ETL frameworks and tools (preferably SSIS, dbt).
• Proficiency in Python for data pipeline development and automation.
• Strong documentation and communication skills; able to work in cross-functional teams.
  

Nice to have:

• Prior experience in large-scale data migration projects.
• Background working with varied database platforms (SQL Server, Oracle, PostgreSQL, MySQL).
• Knowledge of reporting platforms such as Looker is a plus.
  

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers

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