Job Description – Consultant Data Engineer
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.
Who we are:
People -
Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
Quality -
Our goal is to deliver the value of a big five consulting company without the big five cost.
Technology
- Our solutions are Business centric built on cloud native technologies.
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
