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 Assistant Manager Data Engineer
The Assistant Manager and Data Engineer will work with stakeholders to understand the cross functional (domain) business requirements, workflow mapping and will support in developing program specifications, ETL pipelines and code modules according to specifications and client standards.
Responsibilities:
Key Responsibilities:
Lead multiple Data Engineering projects to design, build, and launch data pipelines.
Support the Data Scientist and Data Analytics team in extracting the required data in required format.
Able to integrate the data coming from different sources and in different format, in a usable form for further analysis and processing.
Create the automated pipelines for all the steps for data extraction, processing, cleaning, and merging
Experience in developing Data Integration Solutions, Data Pipelines, and code modules according to specifications and client standards.
Experience in requirements capturing and design from Database, BI Setup, and Implementation etc.
Responsible for the analysis of the data and the build of the physical model at the various stages of the data pipeline.
Ability to communicate efficiently within a multi-disciplinary project team and external agencies to complete assigned tasks on time and within specifications.
Hands-on and be able to understand technical issues and seek clarification as needed.
Build stakeholder relationships.
Establish process rigor and should be a transformation evangelist.
Compliance and Risk Management:
Ensure analytics practices comply with relevant laws, regulations, and organizational policies.
Identify and mitigate risks associated with data management and analytics activities.
Qualifications we seek in you
Minimum Qualifications / Skills
Bachelor’s degree in computer science, Statistics, Mathematics, Economics, or related field; master's degree preferred
Essential skills:
Relevant years of experience in data integration projects using ETL tools.
Experience in implementing data pipelines in Cloud environment - AWS/GCP /Azure but not mandatory. Good to have skill.
Expertise in analytical tools like SAS/R/Python
Proficient running SQL queries to retrieve data from data stores in Teradata, HIVE, ORACLE, Cloud AWS/Azure/GCP)
In depth knowledge of data warehousing and BI concepts
Good with handling structured/unstructured data from variety of sources.
Accurately perceive, understand, and seek problems for better delivery.
Experienced in full spectrum SDLC/ Agile programming development.
Excellent code review and debugging skills.
Data Modelling skills
Good to have knowledge on Financial Domain
Must have exceptional soft skills, including the ability to speak to both technical and business concerns.
Ability to think logically, critically, and constructively about complex problems and propose solutions that address expressed needs
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.