Consultant - Data Engineering
We’re Hiring: Consultant - Data Engineering
Location: Hyderabad
Department: Data and Technology
Job Type: Full-time
Reports To: Manager - D&T
About Us
Chryselys is a "Great Place to Work", 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.
Role Overview
We are looking for an experienced AWS Consultant with Databricks expertise to design, build, and lead the delivery of scalable cloud-based data solutions for our Pharma business. The ideal candidate combines strong hands-on cloud architecture skills with domain knowledge of the pharmaceutical industry and has proven experience leading technical teams through complex delivery engagements.
Key Responsibilities
Location: Hyderabad
Department: Data and Technology
Job Type: Full-time
Reports To: Manager - D&T
About Us
Chryselys is a "Great Place to Work", 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.
Role Overview
We are looking for an experienced AWS Consultant with Databricks expertise to design, build, and lead the delivery of scalable cloud-based data solutions for our Pharma business. The ideal candidate combines strong hands-on cloud architecture skills with domain knowledge of the pharmaceutical industry and has proven experience leading technical teams through complex delivery engagements.
Key Responsibilities
- Architect and implement scalable, secure, and cost-efficient data pipelines and solutions on AWS and Databricks
- Design and optimize end-to-end cloud-native solutions leveraging AWS services such as Glue, SageMaker, S3, EC2, ECS, and Neptune
- Build and optimize data engineering pipelines using SQL, Python, and PySpark
- Establish and maintain robust CI/CD pipelines and DevOps practices, leveraging GitHub for version control and automation
- Collaborate with cross-functional teams (data science, business, product) to translate Pharma business requirements — including forecasting use cases — into technical solutions
- Lead the technical delivery of projects, ensuring solutions meet quality, performance, and scalability standards
- Provide technical leadership, mentorship, and management to a team of engineers/consultants
- Ensure adherence to data governance, security, and compliance standards relevant to the Pharma industry
- Engage with stakeholders to present architecture decisions, project updates, and technical roadmaps
- 6 – 10 years of overall experience in data engineering / cloud architecture roles
- Mandatory: Prior experience working in the Pharma / Life Sciences industry
- Good to have: Experience with forecasting models or solutions (demand forecasting, sales forecasting, etc.)
- Strong hands-on experience building scalable pipelines and data-based solutions on AWS and Databricks
- Deep expertise in core AWS services: Glue, SageMaker, S3, EC2, ECS, Neptune (or equivalent graph/ML/compute/storage services) and in Databricks
- Solid understanding of CI/CD practices and DevOps tools, with working knowledge of GitHub
- Proven experience architecting end-to-end cloud solutions
- Proficiency in SQL, Python, and PySpark
- Demonstrated experience leading delivery of technical solutions and managing teams
- Strong communication, stakeholder management, and problem-solving skills
- AWS Certifications (Solutions Architect – Associate/Professional, or Data Analytics Specialty)
- Databricks certifications
- Experience with graph databases (Neptune) for relationship-driven data models
- Exposure to MLOps practices, model deployment pipelines, Development of AI agents, NLP chatbots
- How to Apply:
- Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
- Please include your resume and a cover letter detailing why you’re the perfect fit for this role.
- Equal Employment Opportunity:
- Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Connect with Us:
- Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
- Discover more about our team and culture: www.chryselys.com
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