Senior Data Engineer - Python Job

YASH Technologies, Inc.; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

YASH Technologies is seeking an experienced Data Engineer for the iConnectSuggestions project. You will implement and maintain data processing logic, write SQL and Python across a cloud-based environment, and build reusable components for global use.

The role requires strong AWS experience, knowledge of pandas, and collaboration within agile teams to deliver data-driven pharma sales recommendations.

Qualifications

• 5–9 years of experience in data engineering or related roles.
• Strong SQL and Python coding skills with pandas experience.
• Experience with AWS data services and building scalable data pipelines.

Responsibilities

• Maintain and implement data processing logic for iConnectSuggestions.
• Develop reusable modules across countries and business settings.
• Collaborate with agile teams to deliver data-driven recommendations.

Skills

SQL

Python

Pandas

AWS

Jira

Agile

Gen AI

Tools

AWS Glue

AWS Athena

DynamoDB

Job description

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YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hirePython Professionals in the following areas :

Experience required: 5-9 years

Job Location: Bangalore
Right to Hire requirement
The project
iConnect Suggestions is the inhouse data driven next-best-action solution for Client healthcare at a global scale. This solution is based on AWS and has been running for over four years with proven business impact.

The role

The(Senior)Data Engineer for theiConnectSuggestions projectwill maintain and implement the logic to update or create suggestions to pharma sales representatives based on business requirements. This will involve writing SQL and Python code to create generalized modules that are re-usable across a variety of countries and business settings. The project is implemented on AWS, so a goodknowledgeon cloud architectures, especially based on AWS,combined with experience working closely with agile software development teams are key.Thekey responsibilities include:

• Identify the root causes of issues with existing data and suggestion generation pipelines and implement fixes (will require debugging in AWS Step Functions, Glue, Athena and Lambda).
  


• Implement the data analysis steps needed to generate suggestions for pharma sales representatives within the framework of the project.


• Implement the above in an agile development team.
  

Who we are looking for

• In-depth knowledge of SQL and Python, in particular pandas


• Knowledge on AWS cloud technologies for data analysis, e.g., Glue, Athena and DynamoDB


• Basic knowledge of Salesforce/Veeva would be a plus


• Knowledge of agile implementation methods and common project tools (e.g. JIRA)

Technical

Python (Mandatory ): Strong hands-on expertise is required.

AWS (Important): Good technical knowledge and understanding required; expert-level expertise is not mandatory.

Gen AI (Preferred): Exposure to and understanding of Gen AI concepts and use cases is preferred.

Jira & Agile (Important): Working knowledge of Jira and Agile methodologies is required.

Other Requirements

Experience : 5 to 9 years of experience preferred; maximum 10 years.

Availability : Immediate joiners preferred. Strong internal candidates may also be considered. Candidates serving notice periods are not preferred.

Location & Work Mode

Work Mode : Hybrid, with 2 days per week working from the Client office.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

• Flexible work arrangements, Free spirit, and emotional positivity


• Agile self-determination, trust, transparency, and open collaboration


• All Support needed for the realization of business goals,


• Stable employment with a great atmosphere and ethical corporate culture