With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.
Are you the one we are looking for
We are inviting applications for the role of Assistant Manager, Data Engineering/Data Analyst - Python Developer
This Role includes writing and testing code, debugging programs and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team.
Responsibilities
To support in the marketing campaign execution journey for a leading firm to migrate and execute campaigns from leading marketing automation platform to custom build Notebook in Python
Strong technical and marketing domain acumen to understand marketing strategies and convert it into Python codes
Build complex multi-channel marketing campaigns based on business requirement
Construct, test and maintain data architectures and pipelines to meet business requirements.
Develop processes for data preparations, modelling and mining & discover opportunities for data acquisitions.
Marry systems together to build reliable datasets for analysis.
Uncover exploratory insights from data using a variety of tools (Python, R, SQL, BI tools)
Use statistical modelling and learning to develop models as per business requirements.
Set up and maintain a data warehouse / data lake solution
Must be proficient with tools such as Anaconda, Rstudio, Apache HTTP server, etc.
Experience in building data pipelines using different data sources
Knowledge of relational databases (preferably MS SQL Server 2008 and above, Teradata), with experience writing SQL queries and stored procedures.
Should know and understand both Supervised & Unsupervised Machine Learning algorithms and have applied them in industry scenario on at least 1 implementations
Should have good amount of data analysis experience, should know about various exploratory techniques
Very good communication skills; must be able to discuss the requirements effectively with a technical team of developers
Qualifications we seek in you
Minimum qualifications
Graduate/ Post Graduate in B.tech/MBA/MCA
Any technical discipline with experience in data engineering
Preferred qualifications
Have professional experience as a Data Engineer / Data Analyst.
Strong Knowledge of SQL (Preferred: Teradata, SQL Server)
Experience in Python and Knowledge of python libraries like Pandas, Numpy, Scipy etc. and OOPS Concepts.
Must be familiar with and/or have worked with Business Intelligence tools such as MS Power BI and Tableau
Have a good understanding of collaborative software development in an enterprise environment
A flexible, dedicated and solution orientated approach through periods of change and disruption
Innovative and always looking for continuous improvement
Ability to encourage confidence and work with all levels of client and internal staff.
Ability to deliver clear, concise presentations to the non-technical audience.
High energy, clear goal orientation, and work ethics; can do attitude
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. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Genpact (NYSE: G) is a global professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage. We do this by integrating lean principles, design thinking, analytics and digital technologies with our domain and ...