Data Engineer

Key Responsibilities:

Collaborate with stakeholders to plan, design, develop, test, and maintain the KPI data and dashboards on Azure and PowerBI.

The candidate would have to have the following skills:

Proficient in ETL processes, data modelling, and DAX query language on Microsoft Azure. Proven track record of collaborating with stakeholders to gather requirements and deliver actionable insights.

Independently handle DevOps in ADF, Synapse ad PowerBI

Proficient in business requirements gathering and analysis.

Strong data analysis skills, including data interpretation and visualization.

Familiarity with process modelling and documentation.

Adept at creating interactive and visually compelling reports and dashboards to support data-driven decision-making in PowerBI.

Excellent stakeholder management and communication skills.

Knowledge of Agile methodologies and project management practices.

Ability to develop and articulate clear and concise user stories and functional requirements.

Proficiency in using data visualization tools like Power BI.

Comfortable with conducting user acceptance testing (UAT) and quality assurance.

Profile Requirements

Educational Qualification

Graduate/Post Graduate degree Computer Science, Masters in Business Administration, Certification in PowerBI and Microsoft Azure Services

Experience

At least 6 years of experience in delivering large enterprise Analytics projects

Overall experience of 08 - 10 years in Enterprise IT or Business

The Industry to be hired from

Chemical/Pharma/FMCG

Manufacturing IT

Big 4, IT/ITES Organizations- Analytics organizations