Senior Specialist, Business Data Architecture

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<p>We are looking for a <strong>Data Engineer</strong> who is passionate about building robust, scalable, and efficient data solutions. The ideal candidate will have strong expertise in <strong>ETL development</strong>, <strong>Snowflake</strong>, and modern <strong>cloud-based data platforms</strong>, along with understanding in <strong>Power BI</strong> for analytics and reporting. This role demands a solid understanding of <strong>data engineering principles</strong>, <strong>ETL concepts</strong>, and <strong>financial domain knowledge</strong>.</p><p>As an individual contributor, you will be responsible for designing and implementing end-to-end data pipelines, ensuring data quality, and enabling actionable insights for business stakeholders. Strong communication skills, a proactive mindset, and the ability to work independently in a dynamic environment are essential.</p><hr><p><strong>Key Responsibilities</strong></p><ul style="list-style-type: disc;"><li><span>Design, develop, and maintain <strong>data pipelines</strong> and <strong>ETL workflows</strong> for ingestion, transformation, and integration.</span></li><li><span>Build and optimize solutions on <strong>Snowflake</strong> and other <strong>cloud data platforms</strong>.</span></li><li><span>Leverage ETL tools such as <strong>Informatica</strong>, <strong>Pentaho</strong>, or <strong>Azure Data Factory (ADF)</strong> to deliver scalable data solutions.</span></li><li><span>Implement best practices for <strong>data modeling</strong>, <strong>performance tuning</strong>, and <strong>data governance</strong>.</span></li><li><span>Develop and manage <strong>Power BI dashboards</strong> and reports to support business intelligence initiatives.</span></li><li><span>Collaborate with cross-functional teams to understand requirements and deliver technical solutions aligned with business goals.</span></li><li><span>Ensure compliance with security and regulatory standards for financial data.</span></li><li><span>Drive projects independently, managing timelines and quality expectations.</span></li></ul><p>&nbsp;</p><p><strong>Required Skills &amp; Qualifications</strong></p><ul style="list-style-type: disc;"><li><span>Proven experience as a <strong>Data Engineer</strong> with strong knowledge of <strong>ETL concepts</strong>, <strong>data warehousing</strong>, and <strong>data architecture</strong>.</span></li><li><span>Experience with <strong>Python</strong> and <strong>SQL</strong> for automation and advanced data processing.</span></li><li><span>Knowledge of <strong>CI/CD pipelines</strong>, <strong>DevOps</strong>, and <strong>data orchestration frameworks</strong>.</span></li><li><span>Hands-on experience with <strong>Snowflake</strong> and at least one ETL tool (<strong>Informatica</strong>, <strong>Pentaho</strong>, or <strong>ADF</strong>).</span></li><li><span>Familiarity with <strong>cloud database technologies</strong> and modern data engineering practices.</span></li><li><span>Understanding of <strong>Power BI</strong> and BI platform infrastructure.</span></li><li><span>Strong understanding of <strong>financial domain concepts</strong>.</span></li><li><span>Excellent problem-solving, communication, and interpersonal skills.</span></li></ul><p><span style="font-family: Aptos, sans-serif;"><span style="font-size: 11pt;">Self-driven, motivated, and capable of delivering high-quality solutions independently.</span></span></p>

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