Junior Data Engineer (Strong in SQL) - Snowflake Exp Preferred

Project Description:

• 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.

Responsibilities:

• Data Infrastructure Development:
• Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
• Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
• Optimize data storage and retrieval performance in Snowflake.

• Data Manipulation and Transformation:
• Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
• Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
• Develop and maintain reusable SQL scripts and stored procedures for data processing.

• Collaboration and Support:
• Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Provide technical guidance and mentorship to junior data engineers and other team members.
• Work closely with IT and DevOps teams to ensure seamless data integration and deployment.

• Data Layer Preparation:
• Design and build data layers to support various analytical and reporting needs.
• Ensure data layers are well-documented, easily accessible, and performant.
• Implement data governance and security best practices to protect sensitive information.
• Performance Tuning and Optimization:

• Monitor and optimize the performance of data pipelines, databases, and queries.
• Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
• Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Mandatory Skills Description:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
• Minimum of 1-5 years of experience in data engineering, with a strong focus on SQL and data manipulation.
• Proven experience working with Snowflake or other cloud-based data warehousing solutions.
• Experience with Tableau
• Strong background in designing data model and building scalable data pipelines and data models.
• Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
• Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.
• Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
• Strong experience with ETL tools and processes.
• Familiarity with Tableau
• Knowledge of data governance, security, and compliance best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Nice-to-Have Skills Description:

• Familiarity with Qlikview, Qliksense
• Familiarity with programming languages such as Python.