Junior Data Engineer (Snowflake / SQL / Tableau)

<p><strong>Project Description:</strong></p><ul><li>We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.</li></ul><p><br></p><p><strong>Responsibilities:</strong></p><p>Data Infrastructure Development:</p><ul><li>Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.</li><li>Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.</li><li>Optimize data storage and retrieval performance in Snowflake.</li></ul><p><br></p><p>Data Manipulation and Transformation:</p><ul><li>Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.</li><li>Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.</li><li>Develop and maintain reusable SQL scripts and stored procedures for data processing.</li></ul><p><br></p><p>Collaboration and Support:</p><ul><li>Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.</li><li>Provide technical guidance and mentorship to junior data engineers and other team members.</li><li>Work closely with IT and DevOps teams to ensure seamless data integration and deployment.</li><li>Data Layer Preparation:</li></ul><p><br></p><p>Design and build data layers to support various analytical and reporting needs.</p><ul><li>Ensure data layers are well-documented, easily accessible, and performant.</li><li>Implement data governance and security best practices to protect sensitive information.</li><li>Performance Tuning and Optimization:</li></ul><p><br></p><p>Monitor and optimize the performance of data pipelines, databases, and queries.</p><ul><li>Identify and resolve performance bottlenecks to ensure timely and efficient data processing.</li><li>Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.</li></ul><p><br></p><p><strong>Mandatory Skills Description:</strong></p><ul><li>-Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field</li><li>Minimum of 2-5 years of experience in data engineering, with a strong focus on SQL and data manipulation.</li><li>Proven experience working with Snowflake or other cloud-based data warehousing solutions.</li><li>Experience with Tableau</li><li>Strong background in designing data model and building scalable data pipelines and data models.</li><li>Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.</li><li>Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.</li><li>Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.</li><li>Strong experience with ETL tools and processes.</li><li>Familiarity with Tableau</li><li>Knowledge of data governance, security, and compliance best practices.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration skills.</li></ul><p><br></p><p><strong>Nice-to-Have Skills Description:</strong></p><ul><li>Familiarity with Qlikview, Qliksense</li><li>Familiarity with programming languages such as Python.</li></ul><p></p>

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