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16 Weeks ago

Data Engineer expertise in SPARQL

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Hyderabad, India
Information Technology
Full-Time
Appsierra

Overview

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.

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