Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows on Azure-based data platforms.
- Develop high-performance data engineering solutions using Python, PySpark, SQL, PL/SQL, and Azure Databricks while ensuring data quality and reliability.
- Collaborate with business stakeholders, solution architects, and data modellers to translate business requirements into scalable technical solutions.
- Support data migration, modernization, optimization, and performance tuning initiatives while following engineering best practices.

Skills Required
- Strong hands-on experience in Python, PySpark, SQL, PL/SQL, and Azure Databricks for developing scalable data engineering solutions.
- Good understanding of ETL/ELT frameworks, distributed data processing, Azure data services, and performance optimization techniques.




- Experience building and maintaining enterprise-grade data pipelines, data integration solutions, and cloud-based data platforms.
- Ability to troubleshoot complex data engineering issues and write efficient, optimized code for large-scale data processing.
- Strong analytical and problem-solving skills with the ability to deliver scalable, high-quality data solutions.
- Excellent communication and stakeholder management skills, with experience working collaboratively in Agile cross-functional teams.

Positive to Have
- ML Flow
- Vertex Al
- Sage Maker
- Time Series Forecasting
- GxP Compliance Knowledge
- Healthcare/ MedTech Domain exp. Manufacturing Analytics.

📌 Junior Data Scientist (Hyderabad)
🏢 Infinites Hr Services Pune
📍 Hyderabad