Consultant - Data Engineering

Chryselys; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Chryselys is hiring an experienced AWS Consultant with Databricks expertise to design and lead scalable cloud-based data solutions for the Pharma sector. You will guide architecture choices, build pipelines, and mentor engineers while aligning with governance and compliance standards.

The role requires 6–10 years in data engineering and cloud roles, pharma domain experience, and strong skills in SQL, Python, PySpark, and CI/CD with GitHub.

Qualifications

• 6–10 years of experience in data engineering and cloud architecture roles.
• Mandatory pharma or life sciences domain experience.
• Hands-on experience building scalable pipelines on AWS and Databricks.
• Solid knowledge of SQL, Python and PySpark, plus CI/CD practices and GitHub.

Responsibilities

• Architect and implement scalable data pipelines on AWS and Databricks.
• Design end-to-end cloud-native solutions using AWS services (Glue, SageMaker, S3, EC2, ECS, Neptune).
• Lead technical delivery and mentor a team of engineers/consultants.
• Ensure data governance, security, and compliance for pharma data.
• Collaborate with data science, business, and product teams on pharma forecasting use cases.

Tools

SQL

Python

PySpark

AWS

Databricks

SageMaker

Glue

S3

EC2

ECS

Neptune

Job description

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

• 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

Required Skills & Experience

• 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

Good to Have

• 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

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