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

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, Azure Analysis Services (AAS), and Tabular Models

Skilled in management tools including JIRA, Agile Methodology, and ServiceNow

Knowledge of database migrations, software upgrades, gateway servers, and Azure architecture

Hands-on experience with ETL tools like Informatica Power Center, Informatica Cloud (IICS), 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

Experience with Azure DevOps