Responsibilities:

Design, develop, and manage data pipelines and business intelligence solutions to support organizational goals.
Build and maintain scalable ETL processes using Azure Data Factory and other data integration tools.
Develop and execute complex database queries, ensuring data accuracy and integrity.
Create insightful dashboards, reports, and data visualizations using Power BI to support data-driven decision-making.
Manage and optimize data warehouses and data models (e.g., in Snowflake or MS SQL).
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Conduct data analysis to identify trends, patterns, and opportunities for business improvement.

Requirements:

Bachelor's degree in Information Systems, Computer Science, or a related field.
Minimum of 2 years of experience in Business Intelligence, Data Engineering, or a related role.
Hands-on experience with Azure Data Factory, Snowflake, and Python.
Proficient in Power BI, including DAX and data modeling.
Strong background in SSIS, MS SQL, and stored procedures.
Solid understanding of data engineering principles, ETL processes, and data warehousing.
Experience in data migration and integrating data from multiple sources.
Proven ability to programmatically manage data flows and transfers across systems.

Why join Us?

We offer very attractive salary and outstanding benefits.
Most of our clients are multinational company which you will be exposed to a large IT environment and valuable experience in international scale projects.
You will always learn new things as our projects always adopt latest technology and best practice available in the market.
Last but not least, we offer a supportive and encouraging environment that puts the emphasis on teamwork. Here, your soft skill (professional relationships, character, attitude) will grow as fast as your technical skill.