Build and deploy resilient data pipelines for processing large datasets

Work closely with multidisciplinary teams to create unified data solutions

Enhance data processes to maximize efficiency and dependability

Create and update data models that drive business intelligence

Maintain data accuracy and uniformity across diverse systems

Take part in architectural discussions and help shape technical solutions

Assist with database transitions and application updates

Record workflows and offer technical support to colleagues

At least 3 years of hands-on experience with Data Warehouse projects

Capable of analyzing and fulfilling business needs for data projects

Advanced skills in SQL, MS SQL Server, Oracle PL/SQL, Snowflake, Azure Synapse, and MDM

Background in using visualization tools like Power BI, Azure Analysis Services (AAS), and Tabular Models

Proficient with project management platforms such as JIRA, Agile practices, and ServiceNow

Understanding of database transitions, application updates, gateway servers, and Azure infrastructure

Practical experience with ETL solutions including Informatica Power Center, Informatica Cloud (IICS), and Azure Data Factory

Acquainted with cloud technologies like Azure and Snowflake

Strong command of English, both written and verbal, at B2+ proficiency or above

Familiarity with Azure DevOps