Chryselys - Senior Consultant - Data Engineering - Pharma Domain

About Us:

Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.

We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.

Key Responsibilities and Core Competencies:

- 7-9 years of strong total experience in data engineering with proven experience in leading enterprise-scale implementations

- Lead end-to-end data engineering initiatives for pharma clients

- Strong experience in designing scalable cloud-based data architecture using best practices

- Design and implementing scalable data pipelines (batch & real-time), ETL/ELT workflows

- Build and optimize data lakes and data warehouses

- Data modeling (dimensional & normalized)

- Expertise in Git repository

- Interacting with clients to understand the business requirements and deliver with best quality on time

- Designing data quality framework

- Understanding of MDM fundamentals

- Hands on experience in one of the orchestration tool (i.e., Airflow, Databricks workflows, step functions etc.)

- Team Management: Lead a team of data engineers, business analysts, quality engineers etc.

- Stakeholder Management: Collaborate with client stakeholders, data scientists, and business teams to deliver the best quality

- Pharma or life science domain expertise in commercial functional area

- Expertise in commercial pharma data sources

Required Technical Skills:

- Hands-on sound experience in Azure or AWS, Databricks, Pyspark, Python, SQL, Redshift

- Expertise in Data Management, ETL/ELT

- Designing and implementing large scale pharma data platforms

- Client facing experience

- Project delivery and management

- Pharma domain experience in must

- Excellent communication skills

- Strong analytical and problem-solving skills

Good to Have:

- One of the reporting tool (Power BI, Tableau, Qlik etc.) exposure

- MDM process understanding

- Any one No SQL database experience

- Gen AI experience

- API integration experience