Principal Consultant, Data Engineer

2 weeks ago

Mumbai, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. 
 
Inviting applications for the role of Principal Consultant, Data Engineer
In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies. 
 
Responsibilities 

• Responsible for delivering projects that integrate data flows within and across technology systems.
• Responsible for leading data modeling sessions with end user groups, project stakeholders and technology teams to produce logical and physical data models.
• Responsible for the technical design of end-to-end job flows that span across systems along with associated quality checks and controls.
• Responsible for creating technology delivery plans to implement system changes.
• Responsible for performing data analysis, data profiling and data sourcing in relational and Big Data database environments.
• Responsible for converting functional requirements into logical and physical data models.
• Assist in ETL development, testing and troubleshooting of ETL issues.
• Troubleshoot data issues and work with data providers for resolution. Perform L3 support when needed.

Qualifications we seek in you 
Minimum Qualifications 
• BE/B Tech/MCA 
• Excellent written and verbal communication skills 
 
Preferred Qualifications/ Skills 

• Ability to design a database plant consisting of a number of end-to-end data flows
• Ability to design technology solutions which are predominantly rules-based data processing systems
• Strong organizational and planning skills
• Strong knowledge Unix shell and experience with Python
• Experience in data integration and data conversions
• Proficient in ETL tools, data integration and data conversions
• Strong logical data modelling skills within the Financial Services domain
• Strong knowledge of relational databases and data modeling
• Strong SQL query-writing skills
• Strong analytical, profiling and troubleshooting skills
• Strong knowledge with Big Data/Hadoop platform
• Financial industry technology experience and knowledge of financial services data
• Good verbal and written communication skills

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