Key Responsibilities

• Design and implement robust data pipelines for large-scale data processing.
• Collaborate with cross-functional teams to deliver integrated data solutions.
• Optimize data workflows for performance and reliability.
• Develop and maintain data models to support business analytics.
• Ensure data quality and consistency across multiple platforms.
• Participate in architecture reviews and contribute to solution design.
• Support database migrations and software upgrades.
• Document processes and provide technical guidance to team members.

Requirements

• Minimum 3 years of experience working on Data Warehouse projects.
• Ability to interpret and address business requirements for data initiatives.
• Proficient in SQL, MS SQL Server, Oracle PL/SQL, Snowflake, Azure Synapse, and MDM.
• Experience with front-end tools such as Power BI and Azure Analysis Services.
• Skilled in management tools including JIRA and Agile Methodology.
• Knowledge of database migrations, software upgrades, gateway servers, and Azure architecture.
• Hands-on experience with ETL tools like Informatica and Azure Data Factory.
• Familiarity with cloud platforms including Azure and Snowflake.
• Fluent English communication skills, both written and spoken, at B2+ level or higher.

Nice to Have

• Experience with Azure DevOps.

We Offer

• International projects with top brands.
• Work with global teams of highly skilled, diverse peers.
• Healthcare benefits and employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling and certification courses.
• Unlimited access to LinkedIn Learning library.
• Global career opportunities and community involvement options.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.