Work Location : 7 Deloitte USI Locations - Hyderabad, Mumbai, Delhi/NCR, Bengaluru, Kolkata, Pune, and Chennai

JOB DESCRIPTION:
- Design, develop, and maintain scalable data pipelines using Python, ensuring efficient data integration, transformation, and performance optimization.
- Use graph technologies to model complex data relationships, manage graph databases, and implement SPARQL queries for data retrieval.
- Implement and manage automated data workflows using orchestration tools (e.g., Apache Airflow, Prefect) to ensure reliability and fault tolerance.
- Ensure data accuracy and consistency through quality checks, and enforce data governance policies for data integrity.
- Work with data scientists, analysts, and stakeholders to deliver data solutions, and clearly communicate technical concepts to non-technical audiences.
-Leverage Prophecy platform to design and manage data workflows, ensuring smooth integration and optimization for scalability.

REQUIRED SKILLS:

• Expertise in graph databases and technologies (e.g., Neo4j, SPARQL).

• Proven experience in Python and data pipeline development.

• Hands-on experience with data orchestration tools (e.g., Apache Airflow, Prefect).

• Strong understanding of data quality, governance, and integrity best practices.

• Excellent communication and collaboration skills.

• Experience with the Prophecy platform is a plus.

• A continuous learning mindset to stay current with evolving data engineering trends and tools.