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We are looking for an experienced BI Developer who will work in our dynamic, cool and growing Data Group. You will be responsible for designing, developing, and maintaining data architecture and pipelines, ensuring the availability, reliability, and efficiency of our data infrastructure . As one of our BI Developers you will be using ETL (Extract, Transform, Load) or ELT processes to support data integration and warehousing initiatives, working closely with business stakeholders, data analysts, data scientists and tech leads to ensure the efficient flow of data across various systems and databases and implement solutions to support our organization’s data-driven initiatives. The ideal candidate will have experience with DWH and data streams, a passion for data and engineering processes and a broad tech prism. No less important – you will be an exquisite team member, friendly, collaborative and communicative. · Design, build, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of data from diverse sources. · Develop and optimize ETL processes to extract data from multiple sources, transform it according to business requirements, and load it into target databases/data warehouses cleanse, thus validating and enriching raw data for analytics and reporting purposes. · Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical specifications for ETL development. ·Optimize and tune SSIS packages for performance, scalability, and reliability. · Troubleshoot and resolve issues related to data integration, ETL processes, and data quality. · Develop and maintain documentation for ETL processes, data mappings, and data lineage. · Implement data validation and quality checks to ensure accuracy and completeness of data. · Work with database administrators to ensure proper configuration and optimization of database servers and storage for ETL processes. · Keep abreast of industry trends and best practices in ETL development and data integration. · Develop and maintain monitoring and alerting systems to proactively identify and address data pipeline issues and bottlenecks. · Enable the core processes of data visualization tools (e.g., Tableau, Power BI). ·Perform automation and scripting tasks. · Manage data lakes and other storage solutions to proliferate and refine structured and unstructured data efficiently.