Data Engineer

Qualis1 Inc.; Dallas (TX); Presencial; USD 100.000 - 160.000; Jornada completa

Descripción de la vacante

Qualis1 Inc. in Dallas, TX is seeking a data engineer to design and implement data warehouse solutions and advanced analytical applications.

You will apply engineering science and best practices to build scalable pipelines, support AI/ML capabilities, and ensure performance and reliability. You will collaborate with data scientists and analysts, perform data migrations, implement security controls, and optimize ETL processes using Spark, Hadoop, and cloud services.

Formación

• Strong knowledge of data engineering principles and practices.
• Proficiency in Python, Java, or Scala and SQL.
• Experience with big data platforms such as Spark or Hadoop.
• Knowledge of database design and data modeling.
• Understanding of ETL and data integration concepts.

Responsabilidades

• Apply engineering science and technology to design and implement data warehouse and analytical applications.
• Enhance and maintain corporate data warehouse and analytical platforms.
• Support advanced analytics capabilities including ML, predictive modeling, and AI.
• Debug, test, and optimize data pipelines and ETL processes for performance and reliability.
• Design and implement scalable, compliant data architectures.
• Collaborate with data scientists and analysts to deploy analytics solutions.
• Implement data security, encryption, and access control mechanisms.
• Support data migration and integration projects.

Conocimientos

Data engineering

Python/Java/Scala

SQL

ETL concepts

Data modeling

Herramientas

Spark

Hadoop

Cloud data services

Descripción del empleo

Location: Dallas TX 5 days on site must come f2f 2 rounds

Duration: Long Term

"Responsibilities

• Apply engineering science and technology, including principles, techniques, procedures, and equipment to the design and implementation of data warehouse and advanced analytical applications.
• Enhance and maintain corporate data warehouse and analytical platforms.
• Support engineering needs associated with advanced analytical capabilities including machine learning, predictive modeling, and artificial intelligence.
• Debug, test, and optimize data pipelines and ETL processes for performance and reliability.
• Design and implement data architectures that support scalability, performance, and compliance requirements.
• Collaborate with data scientists and analysts to implement advanced analytics solutions.
• Implement data security, encryption, and access control mechanisms.
• Support data migration and integration projects.

Qualifications

• Strong knowledge of data engineering principles and practices.
• Proficiency in programming languages (Python, Java, Scala) and SQL.
• Experience with big data platforms and tools (Spark, Hadoop, or cloud data services).
• Knowledge of database design and data modeling.
• Understanding of ETL and data integration concepts."