Databricks Developer- Life science

Pri India It Services; Ernakulam, Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Pri India It Services is seeking a skilled Databricks Developer with 3-6 years of experience to design and implement ETL data pipelines in the Life Sciences domain. The role requires hands-on Databricks, SQL, Python, cloud platforms, and healthcare master data concepts.

You will collaborate with data engineering and business teams to deliver scalable data integrations, ensure data quality, and optimize performance across data warehouses and data lakes in a life sciences context.

Qualifications

• Databricks experience with ETL development and data warehousing concepts.
• Experience with SQL, Python and cloud platforms.
• Domain knowledge in Life Sciences / Pharmaceutical and healthcare MDMS concepts.

Responsibilities

• Design, develop, and maintain data integration solutions using Databricks.
• Develop and implement ETL processes for data extraction, transformation, and loading.
• Collaborate with business and technical teams to understand data requirements.
• Optimize and troubleshoot Databricks workflows and performance issues.
• Ensure data quality, accuracy, and integrity across the data lifecycle.
• Provide technical guidance and support to junior team members.
• Follow industry best practices and stay updated with emerging technologies.

Skills

Databricks

ETL Tools

SQL

Python

Data Warehousing

Cloud Platforms

Education

Bachelor's Degree in Computer Science

Tools

Jira

Azure DevOps

Agile Scrum

Job description

Job Title: Databricks Developer - Life Sciences

Experience: 3-6 Years
Location: Bangalore and Kochi
Industry: Life Sciences / Pharmaceutical

Job Summary

We are looking for a skilled Databricks Developer with strong experience in ETL development, data warehousing, and Life Sciences/Pharmaceutical domain. The ideal candidate should have hands-on experience with Databricks, SQL, Python, cloud platforms, and healthcare master data management concepts.

Key Responsibilities

• Design, develop, and maintain data integration solutions using Databricks.
• Develop and implement ETL processes for data extraction, transformation, and loading.
• Collaborate with business and technical teams to understand data requirements.
• Optimize and troubleshoot Databricks workflows and performance issues.
• Ensure data quality, accuracy, and integrity across the data lifecycle.
• Provide technical guidance and support to junior team members.
• Follow industry best practices and stay updated with emerging technologies.

Mandatory Skills

• Databricks (Minimum 5 years of hands-on experience)
• ETL Tools (Informatica / Talend / SSIS)
• SQL
• Python
• Data Warehousing & Data Lake Concepts
• AWS / Azure / GCP

Domain Expertise (Mandatory)

• Life Sciences / Pharmaceutical Industry Experience
• Healthcare & Customer Master Data Management
• Knowledge of MDM Entity Types:
• Customer
• Organization
• Product
• Payer
• Related Healthcare & Commercial Entities
• Healthcare Data Hierarchies, Affiliations & Relationship Management
• MDM Compliance & Regulated Environment Processes
• Data Governance & Data Quality Practices in Pharmaceutical Environments

Required Qualifications

• Bachelor's Degree in Computer Science or equivalent.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Soft Skills

• Strong verbal and written communication skills.
• Stakeholder management and coordination skills.
• Ability to work effectively with business and technical teams.
• Presentation and facilitation skills.
• Ability to manage multiple priorities in a fast-paced environment.

Tools & Methodologies

• Jira
• Azure DevOps
• Agile / Scrum

Preferred Candidate Profile

• Experience in large-scale data integration projects.
• Strong understanding of healthcare master data and MDM processes.
• Ability to work independently and drive project deliverables.

Keywords: Databricks, ETL Developer, Informatica, Talend, SSIS, SQL, Python, Data Warehouse, Data Lake, AWS, Azure, GCP, MDM, Healthcare Data, Life Sciences, Pharmaceutical, Jira, Azure DevOps, Agile Scrum.