Senior Specialist, Business Data Architecture

Role Overview: You will be a Data Engineer responsible for designing and implementing end-to-end data pipelines, ensuring data quality, and enabling actionable insights for business stakeholders. Your expertise in ETL development, Snowflake, and cloud-based data platforms will be crucial in building robust, scalable, and efficient data solutions. Your role demands a solid understanding of data engineering principles, ETL concepts, and financial domain knowledge. Strong communication skills, a proactive mindset, and the ability to work independently in a dynamic environment are essential for this position. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL workflows for ingestion, transformation, and integration. - Build and optimize solutions on Snowflake and other cloud data platforms. - Leverage ETL tools such as Informatica, Pentaho, or Azure Data Factory (ADF) to deliver scalable data solutions. - Implement best practices for data modeling, performance tuning, and data governance. - Develop and manage Power BI dashboards and reports to support business intelligence initiatives. - Collaborate with cross-functional teams to understand requirements and deliver technical solutions aligned with business goals. - Ensure compliance with security and regulatory standards for financial data. - Drive projects independently, managing timelines and quality expectations. Qualifications Required: - Proven experience as a Data Engineer with strong knowledge of ETL concepts, data warehousing, and data architecture. - Experience with Python and SQL for automation and advanced data processing. - Knowledge of CI/CD pipelines, DevOps, and data orchestration frameworks. - Hands-on experience with Snowflake and at least one ETL tool (Informatica, Pentaho, or ADF). - Familiarity with cloud database technologies and modern data engineering practices. - Understanding of Power BI and BI platform infrastructure. - Strong understanding of financial domain concepts. - Excellent problem-solving, communication, and interpersonal skills. (Note: The information about the company was omitted as it is not directly related to the job description) Role Overview: You will be a Data Engineer responsible for designing and implementing end-to-end data pipelines, ensuring data quality, and enabling actionable insights for business stakeholders. Your expertise in ETL development, Snowflake, and cloud-based data platforms will be crucial in building robust, scalable, and efficient data solutions. Your role demands a solid understanding of data engineering principles, ETL concepts, and financial domain knowledge. Strong communication skills, a proactive mindset, and the ability to work independently in a dynamic environment are essential for this position. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL workflows for ingestion, transformation, and integration. - Build and optimize solutions on Snowflake and other cloud data platforms. - Leverage ETL tools such as Informatica, Pentaho, or Azure Data Factory (ADF) to deliver scalable data solutions. - Implement best practices for data modeling, performance tuning, and data governance. - Develop and manage Power BI dashboards and reports to support business intelligence initiatives. - Collaborate with cross-functional teams to understand requirements and deliver technical solutions aligned with business goals. - Ensure compliance with security and regulatory standards for financial data. - Drive projects independently, managing timelines and quality expectations. Qualifications Required: - Proven experience as a Data Engineer with strong knowledge of ETL concepts, data warehousing, and data architecture. - Experience with Python and SQL for automation and advanced data processing. - Knowledge of CI/CD pipelines, DevOps, and data orchestration frameworks. - Hands-on experience with Snowflake and at least one ETL tool (Informatica, Pentaho, or ADF). - Familiarity with cloud database technologies and modern data engineering practices. - Understanding of Power BI and BI platform infrastructure. - Strong understanding of financial domain concepts. - Excellent problem-solving, communication, and interpersonal skills. (Note: The information about the company was omitted as it is not directly related to the job description)