ETL Developer - USWA Client Data Quality Engineer, Associate

Key Responsibilities:

• Design, develop, and maintain ETL processes and workflows across 3rd-party data feeds, CRM data exhaust, and industry data / insights.
• Optimize ETL processes for performance and scalability.
• Maintain and update client data repositories to ensure accuracy and completeness, focusing on timely onboarding, QA, and automation of priority 3rd-party data feeds
• Collaborate with USWA Client Data Management, data scientists, and business stakeholders to understand data requirements, improve data quality, and reduce time to market when new data feeds are received.
• Partner with the central Aladdin engineering team on platform-level engagements (eg, Global Client Business Client Data Platform)
• Ensure the seamless flow of data between internal and external systems.
• Fix and resolve ETL job failures and data discrepancies.
• Document ETL processes and maintain technical specifications.
• Work with data architects to model data and ingest into data warehouses (eg, Client Data Platform)
• Engage in code reviews and follow development standard methodologies.
• Stay updated with emerging ETL technologies and methodologies.

Qualifications:

• Bachelors or masters Degree in Computer Science, Engineering or a related field.

Eligibility Criteria:

• 4+ years of experience in ETL development and data warehousing.
• Proficiency in ETL tools such as Informatica, Talend, or SSIS.
• Experience with building ETL processes for cloud-based data warehousing solutions (eg, Snowflake).
• In-depth working knowledge of Python programming language including libraries for data structures, reporting templates etc Extensive knowledge of writing Python data processing scripts and executing multiple scripts via batch processing.
• Proficiency in programming languages like Python, Java, or Scala.
• Experience with database management systems like SQL Server, Oracle, or MySQL.
• Knowledge of data modeling and data architecture principles.
• Excellent problem-solving and analytical skills.
• Ability to work in a fast-paced and dynamic environment.
• Strong communication skills and ability to work as part of a team.
• Experience in the asset management or financial services sector is a plus.