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Senior Data Engineer

1 month ago

Bengaluru, Karnataka, India Quess IT Staffing Full time
Job Description

We are seeking a seasoned Data Engineer with expertise in SPARQL and graph technologies to join our team. This is an excellent opportunity to leverage your technical skills and experience in designing, building, and maintaining data pipelines and architectures.

The successful candidate will be responsible for integrating, transforming, and managing data from various sources, ensuring data quality, consistency, and accessibility. You will work closely with data scientists, analysts, and business stakeholders to deliver robust data solutions that drive business insights and decision-making.

This role involves collaborating on key initiatives such as:

  • Designing and developing scalable data pipelines using Python and other relevant technologies;
  • Implementing data integration processes to collect, clean, and transform data from various sources;
  • Ensuring data pipelines are optimized for performance, reliability, and scalability;
  • Utilizing general graph technologies to model and manage complex data relationships;
  • Developing and maintaining graph databases for efficient data storage and retrieval;
  • Implementing SPARQL queries to extract and manipulate data from graph databases;
  • Designing and implementing data orchestration workflows to automate data processing tasks;
  • Using orchestration tools (e.g., Apache Airflow, Prefect) to schedule, monitor, and manage data workflows;
  • Ensuring data workflows are resilient, fault-tolerant, and well-documented;
  • Implementing data quality checks and validation processes to ensure data accuracy and consistency;
  • Developing and enforcing data governance policies and procedures to maintain data integrity;
  • Monitoring data pipelines and workflows to identify and resolve data quality issues;

This is a challenging yet rewarding role that requires strong technical skills, attention to detail, and effective collaboration. If you have a passion for data engineering and a desire to make a meaningful impact, we encourage you to apply for this position.