Data Engineer

Qode; Floridablanca; Presencial; COP 366.740.000 - 533.440.000; Jornada completa

Descripción de la vacante

Qode is seeking an experienced Data Engineer to design and optimize scalable MEM SQL-based data pipelines and platforms. You will work closely with data scientists, analysts, and application teams to deliver high-performance solutions.

The role requires strong SQL skills, data modeling knowledge, and hands-on ETL experience, with exposure to cloud platforms and big data tools (Spark/Kafka). You will ensure data quality, security, and reliability across data ecosystems.

Formación

• Experienced Data Engineer with strong MEM SQL (SingleStore) expertise.
• Solid SQL skills and database optimization experience.
• Hands-on ETL tools and data pipeline frameworks.
• Knowledge of data modeling and data warehousing concepts.
• Experience handling large datasets and real-time data processing.
• Familiarity with cloud platforms and Big Data technologies (Spark, Kafka).

Responsabilidades

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing.
• Optimize database performance, queries, and data models.
• Collaborate with data scientists, analysts, and application teams to support data needs.
• Ensure data quality, reliability, and security across data platforms.
• Monitor and troubleshoot data pipeline and system issues.
• Support data migration and integration activities.

Conocimientos

Data Engineer

MEM SQL

SQL

ETL tools

Data modeling

Real-time data processing

Large datasets

Herramientas

MEM SQL (SingleStore)

Spark

Kafka

Cloud platforms (AWS/Azure/GCP)

Descripción del empleo

Job Title: Data Engineer – MEM SQL

Location: New Jersey / Irving, TX / Tampa, FL

Job Description

We are looking for an experienced Data Engineer with strong expertise in MEM SQL (SingleStore) to join our team supporting Incedo projects. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and high-performance data platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes
• Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing
• Optimize database performance, queries, and data models
• Collaborate with data scientists, analysts, and application teams to support data needs
• Ensure data quality, reliability, and security across data platforms
• Monitor and troubleshoot data pipeline and system issues
• Support data migration and integration activities

Required Skills

• Strong experience as a Data Engineer
• Hands-on experience with MEM SQL (SingleStore)
• Strong SQL skills and database optimization experience
• Experience with ETL tools and data pipeline frameworks
• Knowledge of data modeling and data warehousing concepts
• Experience working with large datasets and real-time data processing

Preferred Skills

• Experience with cloud platforms (AWS / Azure / GCP)
• Knowledge of Big Data technologies (Spark, Kafka, etc.)
• Telecom domain experience (preferred, not mandatory)