Job Description
We are seeking an experienced Data Engineer with a strong background in Pharma Commercial Data to join our growing data team. The ideal candidate will have hands-on experience with Azure Databricks, Snowflake, and a deep understanding of pharmaceutical commercial datasets, including sales, claims, and HCP-level data.
Key Responsibilities
• Design, build, and maintain scalable and efficient data pipelines focused on Pharma Commercial datasets
• Develop data integration workflows using Azure Databricks and manage data warehousing in Snowflake.
• Work closely with business stakeholders, analytics teams, and data scientists to ensure data solutions support strategic commercial initiatives.
• Ensure data quality, consistency, and governance across all pharma commercial datasets.
• Automate routine data processes and monitor pipeline performance for production stability.
• Participate in architecture reviews and recommend improvements for performance and scalability.
Required Qualifications
• Minimum 3 years of hands-on experience with Pharma Commercial Data, including datasets like sales, prescription, claims, payer data, or CRM/HCP information.
• Proven expertise in Azure Databricks and Snowflake.
• Strong proficiency in SQL and Python for data manipulation and transformation.
• Solid understanding of data modeling, ETL/ELT frameworks, and cloud-based data engineering best practices.
• Experience with data orchestration tools (e.g., Airflow, Azure Data Factory).
• Ability to work independently and communicate effectively with business and technical teams.
Preferred Qualifications
• Exposure to commercial analytics use cases like HCP segmentation, field force effectiveness, and targeting.
• Familiarity with data privacy, HIPAA, and compliance regulations in the pharma domain.
• Experience working in Agile teams and DevOps environments.
What We Offer
• Opportunity to work on impactful commercial data initiatives in the pharmaceutical industry.
• Competitive compensation and benefits.
• Remote-friendly, flexible work culture.
• Supportive team environment and continuous learning opportunities.
About Predigle:
Predigle, an EsperGroup company, is an American multinational organization focused on building a disruptive technology platform that revolutionizes the way businesses conduct their daily operations.
Predigle has grown rapidly to offer multiple products and services,As a growing startup, we offer an entrepreneurial work environment where ideas are valued, creativity is encouraged, and learning opportunities are immense.
Key Responsibilities
• Design, build, and maintain scalable and efficient data pipelines focused on Pharma Commercial datasets
• Develop data integration workflows using Azure Databricks and manage data warehousing in Snowflake.
• Work closely with business stakeholders, analytics teams, and data scientists to ensure data solutions support strategic commercial initiatives.
• Ensure data quality, consistency, and governance across all pharma commercial datasets.
• Automate routine data processes and monitor pipeline performance for production stability.
• Participate in architecture reviews and recommend improvements for performance and scalability.
Required Qualifications
• Minimum 3 years of hands-on experience with Pharma Commercial Data, including datasets like sales, prescription, claims, payer data, or CRM/HCP information.
• Proven expertise in Azure Databricks and Snowflake.
• Strong proficiency in SQL and Python for data manipulation and transformation.
• Solid understanding of data modeling, ETL/ELT frameworks, and cloud-based data engineering best practices.
• Experience with data orchestration tools (e.g., Airflow, Azure Data Factory).
• Ability to work independently and communicate effectively with business and technical teams.
Preferred Qualifications
• Exposure to commercial analytics use cases like HCP segmentation, field force effectiveness, and targeting.
• Familiarity with data privacy, HIPAA, and compliance regulations in the pharma domain.
• Experience working in Agile teams and DevOps environments.
What We Offer
• Opportunity to work on impactful commercial data initiatives in the pharmaceutical industry.
• Competitive compensation and benefits.
• Remote-friendly, flexible work culture.
• Supportive team environment and continuous learning opportunities.
About Predigle:
Predigle, an EsperGroup company, is an American multinational organization focused on building a disruptive technology platform that revolutionizes the way businesses conduct their daily operations.
Predigle has grown rapidly to offer multiple products and services,As a growing startup, we offer an entrepreneurial work environment where ideas are valued, creativity is encouraged, and learning opportunities are immense.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer -Pharma Commerical Domain position is now open for candidates interested in the Lab Technician / Pharmacist Jobs sector. This role in Chennai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Lab Technician / Pharmacist Jobs is a plus.