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Consultant - Data Engineering

Chryselys
Hyderabad, Telangana

Quick apply

Job details

Qualifications

Power BI
Data modeling
Azure
Cloud architecture
NoSQL
Git
Tableau
SQL
AWS
Analysis skills
Data management
APIs
Redshift
Business requirements
AI
Communication skills
Python
Master data management

Full job description

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

Quick apply

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