Job description
• Investigate and assess data quality across datasets, ensuring completeness, accuracy, and consistency.
- Analyze raw data to surface meaningful insights and identify emerging business opportunities.
- Design, build, and maintain efficient and reliable ETL pipelines to ingest and transform data from diverse sources.
- Develop optimized calculation and transformation layers to support business logic and analytical requirements.
- Create interactive dashboards and reports that effectively visualize data and communicate insights to stakeholders.
- Maintain comprehensive documentation covering data models, transformation logic, and dashboard design decisions.
- Collaborate closely with business analysts, data scientists, and IT teams to align technical solutions with business goals.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. Experience:
- 2–3 years of experience in data engineering, business intelligence, or a closely related role.
- Demonstrated experience leading or contributing to data-focused teams or projects. Technical Skills:
- Expertise in data warehousing, ETL/ELT processes, and end-to-end data pipeline development
- Strong understanding of database technologies, data lakes, and data governance frameworks.
- Hands-on experience with cloud platforms, with a preference for Microsoft Azure.
- Proficiency with Databricks/Fabric/Snowflake, and modern data tooling.
- Strong command of SQL, Python, and data integration technologies. Soft Skills:
- Excellent analytical and problem-solving skills with a strategic, business-oriented mindset.
- Strong communication and interpersonal skills, with the ability to present technical concepts to non-technical audiences
- Demonstrated ability to manage multiple projects and competing priorities simultaneously.
- Excellent command of English, both written and spoken.