Assistant Manager - Data Engineer (Quantexa Platform)

Quantexa - Assistant Manager

Job Title: Quantexa Assistant Manager

Experience: 6 + YOE

Job Summary:
We are seeking an experienced Data Engineer with strong hands‑on expertise in the Quantexa Platform to design, build, and maintain large‑scale data integration and analytics solutions. The ideal candidate must be Quantexa Certified and have deep experience with big‑data technologies, entity‑driven data processing, and automation.

Key Responsibilities:

• Design, build, and maintain data integration, ETL processes, and data processing pipelines using the Quantexa Platform 

• Configure and manage Quantexa Fusion Files for data ingestion, transformation, and enrichment 

• Develop and optimize Entity Resolution and Network Generation models 

• Build contextual data models to support analytical and investigative use cases 

• Work extensively with Hadoop, Spark, and Scala for large‑scale data processing 

• Use Python and SQL for data transformation, validation, and analysis 

• Develop and maintain Shell scripts for automation, orchestration, and operational support 

• Ensure data quality, performance, and reliability across Quantexa workflows 

• Collaborate with business and technical stakeholders to deliver end‑to‑end data solutions

   

Required Skills:

• Quantexa Certified (mandatory) 
• Strong hands‑on experience with the Quantexa Platform, including Fusion Files 
• Proven experience building data integration, ETL/ELT, and data processing pipelines
• Solid experience with Entity Resolution and Network Generation 
• Strong background in Hadoop, Spark, and Scala 
• Proficiency in Python, SQL, and Shell scripting 

• Good understanding of big‑data architectures and distributed data processing 

   

Job Title: Quantexa Assistant Manager

Experience: 6 + YOE

Job Summary:
We are seeking an experienced Data Engineer with strong hands‑on expertise in the Quantexa Platform to design, build, and maintain large‑scale data integration and analytics solutions. The ideal candidate must be Quantexa Certified and have deep experience with big‑data technologies, entity‑driven data processing, and automation.

Key Responsibilities:

• Design, build, and maintain data integration, ETL processes, and data processing pipelines using the Quantexa Platform 

• Configure and manage Quantexa Fusion Files for data ingestion, transformation, and enrichment 

• Develop and optimize Entity Resolution and Network Generation models 

• Build contextual data models to support analytical and investigative use cases 

• Work extensively with Hadoop, Spark, and Scala for large‑scale data processing 

• Use Python and SQL for data transformation, validation, and analysis 

• Develop and maintain Shell scripts for automation, orchestration, and operational support 

• Ensure data quality, performance, and reliability across Quantexa workflows 

• Collaborate with business and technical stakeholders to deliver end‑to‑end data solutions

   

Required Skills:

• Quantexa Certified (mandatory) 
• Strong hands‑on experience with the Quantexa Platform, including Fusion Files 
• Proven experience building data integration, ETL/ELT, and data processing pipelines
• Solid experience with Entity Resolution and Network Generation 
• Strong background in Hadoop, Spark, and Scala 
• Proficiency in Python, SQL, and Shell scripting 

• Good understanding of big‑data architectures and distributed data processing 

   

Job Title: Quantexa Assistant Manager

Experience: 6 + YOE

Job Summary:
We are seeking an experienced Data Engineer with strong hands‑on expertise in the Quantexa Platform to design, build, and maintain large‑scale data integration and analytics solutions. The ideal candidate must be Quantexa Certified and have deep experience with big‑data technologies, entity‑driven data processing, and automation.

Key Responsibilities:

• Design, build, and maintain data integration, ETL processes, and data processing pipelines using the Quantexa Platform 

• Configure and manage Quantexa Fusion Files for data ingestion, transformation, and enrichment 

• Develop and optimize Entity Resolution and Network Generation models 

• Build contextual data models to support analytical and investigative use cases 

• Work extensively with Hadoop, Spark, and Scala for large‑scale data processing 

• Use Python and SQL for data transformation, validation, and analysis 

• Develop and maintain Shell scripts for automation, orchestration, and operational support 

• Ensure data quality, performance, and reliability across Quantexa workflows 

• Collaborate with business and technical stakeholders to deliver end‑to‑end data solutions

   

Required Skills:

• Quantexa Certified (mandatory) 
• Strong hands‑on experience with the Quantexa Platform, including Fusion Files 
• Proven experience building data integration, ETL/ELT, and data processing pipelines
• Solid experience with Entity Resolution and Network Generation 
• Strong background in Hadoop, Spark, and Scala 
• Proficiency in Python, SQL, and Shell scripting 

• Good understanding of big‑data architectures and distributed data processing 

   

Experience Level

Mid Level