Responsibilities

- Developing and supporting data engineering workstreams for Azure Databricks, Informatica Intelligent Cloud Services, and cloud-based data platforms
- Building and maintaining data pipelines, transformation logic, and integration flows across modern analytics environments
- Designing, testing, and tuning data models, warehouse structures, and processing jobs to support reliable reporting and analysis
- Translating client data needs into scalable technical solutions for ingestion, cleansing, validation, and delivery
- Monitoring data quality, pipeline performance, and troubleshooting activities to identify issues and refine processing logic
- Applying Microsoft Azure Databricks, Azure Data Factory, Apache Airflow, and Snowflake tools to deliver contemporary data modernization solutions
- Documenting technical design decisions, dependencies, and delivery status to support project coordination and stakeholder visibility




- Collaborating with cross-functional teams and mentoring junior team members through technical review and problem solving

What You Must Have

- At least a Bachelor's degree
- At least 4+ years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating hands-on Azure Databricks and IICS delivery experience
- Leveraging Azure Data Factory, Databricks, and Snowflake for pipelines
- Applying data modeling, data quality, and performance tuning methods
- Translating complex data engineering needs into client-ready deliverables
- Mentoring junior team members while navigating project ambiguity

📌 Azure Databricks with AI (India)
🏢 PwC
📍 India