Data Engineer

Job Opportunity -Data Engineer

We are seeking a data engineer to join our regional data analytic team. You will be responsible for creating solutions that turn data into actionable insights in close collaboration with our business  stakeholders. This will involve writing SQL and Python code to create generalized modules that are reusable across a variety of countries and business settings. The project is implemented majorly on  AWS and Palantir Foundry, so a good knowledge on cloud architectures, especially based on AWS  and Palantir Foundry, combined with experience working closely with agile software development  teams are key.

The key responsibilities include:-

 Working closely with the data scientist and data architect to Implement data analysis steps  needed to generate actionable insight for pharma sales representatives within the framework of  the project.

 Involve in building analytic steps to identify opportunities to leverage data & analytics for  improving customer engagement in sales and marketing areas.

 Developing use cases of machine learning, generative AI solutions like ChatGPT, predictive  analytics and data modeling to maximize insights for decision making and realization.

Who we are looking for :-

 Proven 4+ year experienced use case developers who can implement business use cases in AWS   and Palantir Foundry.

 Has overall knowledge in Python including PySpark, PyTest, Pylint and code formatting, e.g. black

 Good knowledge of machine learning methods and Generative AI

 Good applied statistical skills, including knowledge of statistical tests, distributions, regression,  maximum likelihood estimators, etc.

 Experience in applying data transformations to answer business problems

 Knowledge of Veeva/Salesforce CRM/In market sale/omnichannel 

• Proficient in Python, including PySpark for big data processing.

• Familiar with unit and integration testing using the PyTest- and/or the unittest - Framework.

• Proficient in code quality tools such as Pylint, flake8, etc. and code formatting tools like Black, yapf etc.

• Familiar with Python versions around 3.7 and 3.10.

• Understanding of software engineering best practices and principles, including version control (mainly Git), continuous integration/continuous deployment (CI/CD), and Agile methodologies