Graduate Engineer Trainee Hyderabad, Telangana, India Who we are? With over $1.32 trillion of assets under management, Invesco is one of the worlds leading global investment management firms, headquartered in Atlanta, GA. Spreading across 26 countries and with over 8400 dedicated employees, we are driven by trust and care. As one of the worlds leading asset managers, we are solely dedicated to delivering an investment experience that helps people get more out of life. If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, explore your potential at Invesco. Your Team As a Graduate Engineer Trainee, you will be enrolled in Invesco India Technical Leadership Program (IITLP). The purpose of IITLP is to create world-class technology solutions to enable global operations, lead in the innovative use of data and emerging technologies to redefine the investment experience and help our clients get more out of life.". For this role, you will be part of the Enterprise Data Office (EDO) team. EDO is dedicated to empowering the business of Invesco by delivering trusted solutions through complete data services, delivered globally. Our mission is to create efficiency, enable governance, and continuously execute and innovate data strategy. Your Role Learn skills like data quality, data analysis, metadata cataloging, profiling, data lineage & problem-solving Creating exceptions data models to ensure that DQ metrics is stored in an organized manner for reporting purpose Define and instrument metadata capture and storage for the CDEs, evolve our common business glossary, and facilitate the linkage between business terms and the underlying technical metadata Identify, understand, articulate and document Critical Data Element (CDE) requirements Identify and perform downstream, usage and impact analysis & perform basic data quality analysis Define and validate the enterprise-wide metadata management procedures and guidelines Develop and deploy management processes associated with metadata quality in the repository You will learn to work with multiple business, process, and tech tools/platforms - Amazon AWS, Snowflake, Python, Axon, IDQ, EDC, JIRA, and others. The Experience You Bring Proficient knowledge with data modeling, relational databases and SQL (Structured Query Language) Knowledge Python-statistical programming Knowledge in data science concepts, including data modelling, machine learning, and natural language processing is an added advantage Good interpersonal skills to work effectively with a network of colleagues spread across different time zones Resilient and innovative mindset; ability to challenge the status quo with new solutions Be willing to challenge the definition of a well-rounded technologist Good problem-solving skills and superb attention to detail Understanding of Python, AWS, Snowflake skills would be an added advantage. Shall be open to work flexible hours
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