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Consultant - Data Engineering
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
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