Data Consultant
HCLTech
Data Consultant
About this role
Job Summary
AWS + Data Engineering
Overview of the Role
The AWS Data Engineer will play a pivotal role in developing high-impact data solutions for clients in the pharmaceutical sector. This position focuses on leveraging AWS cloud technologies and advanced data engineering practices to drive analytics, optimize data workflows, and support business-critical pharmaceutical initiatives. The role contributes directly to improving the efficiency, compliance, and innovation of data-driven processes within the Life Sciences and Healthcare industry.
Detailed Responsibilities
- Design, build, and maintain scalable data pipelines and architectures using AWS services (e.g., S3, Redshift, Glue, EMR, Lambda).
- Collaborate with cross-functional teams—including business analysts, data scientists, and application developers—to deliver integrated data solutions tailored to pharmaceutical business needs.
- Ensure data quality, integrity, and security in compliance with industry standards and regulatory requirements (such as FDA, HIPAA, GxP).
- Implement ETL processes to ingest, transform, and manage large data sets from multiple sources.
- Optimize data storage and retrieval for analytics and reporting purposes.
- Monitor and troubleshoot data workflows, resolving issues to ensure reliable operations.
- Document data engineering processes and contribute to knowledge sharing within the team.
- Stay current with emerging technologies and best practices in AWS and pharmaceutical data engineering.
Skill Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 3+ years of hands-on experience in data engineering, preferably within the pharmaceutical or healthcare domain.
- Proficiency with AWS services for data engineering and analytics (e.g., S3, Redshift, Glue, EMR, Lambda).
- Strong programming skills in Python, SQL, and/or Scala.
- Experience in designing, developing, and optimizing ETL pipelines.
- Knowledge of data governance, security, and regulatory compliance specific to Life Sciences and Healthcare.
- Familiarity with data modeling, warehousing, and reporting tools.
- Excellent problem-solving, analytical, and communication skills
Key Responsibilities
AWS + Data Engineering
Overview of the Role
The AWS Data Engineer will play a pivotal role in developing high-impact data solutions for clients in the pharmaceutical sector. This position focuses on leveraging AWS cloud technologies and advanced data engineering practices to drive analytics, optimize data workflows, and support business-critical pharmaceutical initiatives. The role contributes directly to improving the efficiency, compliance, and innovation of data-driven processes within the Life Sciences and Healthcare industry.
Detailed Responsibilities
- Design, build, and maintain scalable data pipelines and architectures using AWS services (e.g., S3, Redshift, Glue, EMR, Lambda).
- Collaborate with cross-functional teams—including business analysts, data scientists, and application developers—to deliver integrated data solutions tailored to pharmaceutical business needs.
- Ensure data quality, integrity, and security in compliance with industry standards and regulatory requirements (such as FDA, HIPAA, GxP).
- Implement ETL processes to ingest, transform, and manage large data sets from multiple sources.
- Optimize data storage and retrieval for analytics and reporting purposes.
- Monitor and troubleshoot data workflows, resolving issues to ensure reliable operations.
- Document data engineering processes and contribute to knowledge sharing within the team.
- Stay current with emerging technologies and best practices in AWS and pharmaceutical data engineering.
Skill Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
- 3+ years of hands-on experience in data engineering, preferably within the pharmaceutical or healthcare domain.
- Proficiency with AWS services for data engineering and analytics (e.g., S3, Redshift, Glue, EMR, Lambda).
- Strong programming skills in Python, SQL, and/or Scala.
- Experience in designing, developing, and optimizing ETL pipelines.
- Knowledge of data governance, security, and regulatory compliance specific to Life Sciences and Healthcare.
- Familiarity with data modeling, warehousing, and reporting tools.
- Excellent problem-solving, analytical, and communication skills
Skill Requirements
Other Requirements
Frequently Asked Questions
Is the salary disclosed for the Data Consultant position at HCLTech?
The salary for this Data Consultant role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Consultant position at HCLTech located?
This Data Consultant role at HCLTech is based in Chennai, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Data Consultant position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Data Consultant job at HCLTech posted?
This Data Consultant position at HCLTech was posted on Sep 18, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Consultant
HCLTech
You'll be redirected to HCLTech's official application page on successfactors.