Job Description

Roles & Responsibilities

Responsibilities

• 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.

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, Power BI, 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.

Desired Candidate Profile

Requirements

Education:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

• 2u20133 years of experience in data engineering, business intelligence, or a closely related role.
• Demonstrated experience leading or contributing to data-focused teams or projects.