Opportunities

Required Skills

n/a

Description

Responsibilities:

• Design and implement effective cloud data models in Azure Data Lake & Azure Databricks to store and retrieve company data.
• Ensure data quality and integrity across data models
• Develop and enforce development standards.
• Architect and model Business Intelligence (BI) and Analytics solutions to support data-driven decision-making.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications for BI and Analytics solutions.
• Develop and maintain data models, data integration processes, and data warehousing solutions to support BI and Analytics initiatives.
• Implement and manage ETL (Extract, Transform, Load) processes to ensure accurate and timely data availability for BI and Analytics.

• Proven experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
• In-depth understanding of data warehouse’s structure principles.
• Expertise in SQL and database management systems (e.g., Oracle, SQL Server, PostgreSQL).
• Knowledge of data visualization tools (e.g., Qlik, Power BI).
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• BSc/BA in Computer Science, Engineering, or a relevant field; MSc/MA will be preferred.
• Extensive experience in architecting and modeling BI and Analytics solutions.
• Proficiency in designing and implementing ETL processes and data integration workflows.
• Strong background in developing data models and data warehousing solutions to support BI and Analytics.
• Hands-on experience with Databricks for data engineering and SQL warehouse. – MUST

• Experience with big data technologies (e.g., Hadoop, Spark).
• Certification in data management or data architecture (e.g., CDMP, TOGAF)

Notes