Data Engineer - Delivery
At a glance
Mid-level Data Engineering role at Beghou Consulting. Hyderabad.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after data pipelines, using the company’s enterprise platform to meet business requests
- Work with US business colleagues to clarify what they need and shape practical data solutions
- Write dependable, reusable code and keep applications performing well
- Find defects, resolve them, and maintain code quality, structure, and automation
- Research new approaches and follow company quality procedures and required training
What you bring
- At least two years of Python programming, including PySpark-based data transformations
- You understand the business processes and data behind transformation work
- You bring SQL knowledge plus familiarity with Snowflake, Databricks, Azure blob storage, AWS, or related listed tools
- You can apply strong analytical and problem-solving skills
Who this fits
This mid-level role suits a data engineer who can work with US business colleagues and build solutions on an enterprise data platform. The position is based in Hyderabad and is hybrid.
From the employer
Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.
Purpose of Job
You will be responsible and accountable for the development and maintenance of data pipelines. You will work with the business team in the US to gather requirements and provide efficient solutions to business requests by utilizing the in-house enterprise data platform.
We'll trust you to:
- Design, build, and maintain efficient, reusable, and reliable code.
Ensure the best performance and quality of applications.
Identify issues and provide solutions to mitigate and address them.
Help maintain code quality, organization, and automation to ensure optimal performance.
Continuously expand the body of knowledge via research.
Comply with corporate quality policies and procedures.
Complete all training requirements promptly.
You'll need to have:
At least 2 years of Python programming experience, including data transformations using PySpark library.
CDW (Commercial Data Warehouse) experience in the US Pharmaceuticals market is strongly preferred.
Experience implementing or supporting HCP and HCO data management, and MDM (Master Data Management) in US pharmaceuticals market is preferred.
Understands the business processes and business data used in data transformations.
Having experience working on different Python libraries and willing to learn/work on new libraries.
Knowledge in SQL queries, Snowflake, Databricks, Azure blob storage and AWS.
Having advanced analytical and problem-solving skills.
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Data Engineering
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