Data Engineer

Responsiblties:

• As a Data engineer, you will be responsible for designing, developing, and maintaining data visualizations and reports using the Power BI platform.
• Work closely with team members and business stakeholders to understand and analyze business requirements for data reporting and analytics.
• Connect and integrate data from various sources, such as databases, spreadsheets, and cloud services, into Power BI datasets.
• Understanding of data management operations and database administration, including data modeling, data definition, data conversion and management of content or unstructured information.
• Ability to design and maintain efficient data models, schemas, and database structures to optimize storage.
• Create and optimize Power BI reports and dashboards that provide valuable insights to support business decision-making.
• Comprehend and work with Key Performance Indicators (KPIs) and metrics.
• Stay up to date with the latest data engineering technologies.
• Ability to work in fast-paced teams with a great work ethic and an enthusiasm for problem solving and data analysis required.

Requirment:

• 3 years relevant work experience in data modeling, data engineering and enterprise information architecture.
• Expertise in SQL, data pipeline and workflow management tools as well as data warehousing.
• Familiarity with data visualization and analytics with Power BI.
• Expertise with ETL solutions, including analyzing, compiling, cleansing, interpreting, joining and staging data.
• Able to facilitate user requirement gathering to inform design, or reverse engineer requirements from existing data sources & applications.
• Extensive experience in developing end-to-end Power BI reporting and analytics solutions.
• Proficient in SQL with a detailed understanding of data. Experience extracting data from databases using SQL.

Key Skills:

• Coding.
• Machine learning.
• Database management.
• Cloud computing.
• Communication.
• SQL.
• Problem solving.