Job Description
- • Years of Experience: 5+ years ( PHARMA MANDATORY )
- • Role Type: Fixed Term Contract (6 Months)
- • Payroll Organization: Talpro
- • CTC Offered: ₹1,50,000 per month (Maximum Rate)
- • Shift Timing: Day shift IST, from 12pm
- • Notice Period: Immediate Joiners Only
- • Work Location: Mumbai / Pune / Bangalore / Chennai / Ahmedabad / Noida (Chennai Most Preferred)
- • Work Mode: Hybrid (3 Days from Office Weekly)
Mandatory Skills:- Databricks
- SQL
- PySpark
- Pharma or Life Sciences domain experience
Good to Have Skills:
- Delta Lake
- Data Lakehouse Architecture
- Unity Catalog or similar data governance tools
- SQL development & performance tuning with large datasets
- Git for version control
- CI/CD for data pipelines (Databricks Repos, Terraform, dbx)
- Azure Databricks or Databricks on AWS
- Python for data manipulation
- Structured streaming in Spark
- Azure Purview or equivalent governance tools
- Automation experience with Terraform/dbx
- Databricks Notebooks
- Data documentation and dictionary practices
Role Overview / Job Summary:
We are looking for an experienced Databricks SQL Engineer with a Pharma or Life Sciences background to join our offshore Data Engineering team. This role focuses on building efficient, scalable SQL-based data models and pipelines using Databricks SQL, Spark SQL, and Delta Lake. The ideal candidate will play a key role in transforming raw data into valuable analytical insights, enabling critical decision-making across pharma-related business functions.
Key Responsibilities / Job Responsibilities:- • Design and optimize SQL queries and data models in Databricks for large-scale datasets
- • Develop and maintain robust ETL/ELT pipelines using Databricks workflows
- • Implement Delta Lake and Unity Catalog for secure and governed data assets
- • Ensure data quality via validation, testing, and monitoring mechanisms
- • Optimize performance and cost for the data lakehouse environment
- • Collaborate with stakeholders to support analytics and business needs
- • Deploy notebooks and SQL workflows using CI/CD best practices
- • Document pipelines, queries, and data models to foster self-service