Senior Data Warehouse Developer

What you will be doing

• Design, develop, and implement scalable data warehouse solutions. • Develop, maintain, and optimize ETL/ELT processes for efficient data extraction, transformation, and loading. • Build and enhance Power BI solutions from high-level technical and business requirements. • Perform quality assurance checks and ensure data accuracy and integrity. • Configure real-time data replication using tools such as Stelo SQDR. • Provide operational support, troubleshoot errors, and resolve data queries. • Work with technical stakeholders to identify data sources, understand metadata, and define solutions. • Promote data governance principles, data quality standards, and best practices. • Convert legacy Excel reports into Power BI dashboards. • Design professional reports, dashboards, and visualisations. • Test, debug, and reconcile data against source systems. • Communicate progress and present insights in easily understandable formats. • Identify opportunities for improvement and provide analytical observations. • Collaborate with business analysts, data scientists, and other stakeholders on data requirements. • Monitor and optimise data warehouse performance. • Implement data governance, security, and compliance standards. • Provide mentorship and guidance to junior team members. What we are looking for:

• 5+ yearsâ?? experience as a Data Warehouse Developer or related role. • 3-year degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. • Strong SQL skills with experience in relational and non-relational databases. • Experience with ETL/ELT tools (SSIS, Data Factory, Informatica, Talend, etc.). • Solid understanding of data warehousing methodologies (Kimball, Inmon). • Experience with data modelling (dimensional modelling, star and snowflake schemas). • Experience with Power BI or similar visualisation tools. • Familiarity with cloud data platforms (Azure Synapse, AWS Redshift, BigQuery) is advantageous. • Experience working with SQL Server 2022 and MS T-SQL. • Experience with data extraction, data analysis, data reconciliation, and data visualisation. • Exposure to data replication tools (Stelo SQDR, Qlik Replicate, etc.). • Knowledge of the software development lifecycle. • Strong communication, analytical thinking, report writing, problem-solving, and time-management skills. Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.

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