Data Engineer (Hybrid-Gdl)

NTT DATA, Inc.; Jalisco; Híbrido; MXN 1,477,000 - 2,032,000; Jornada completa

Descripción de la vacante

A leading technology services firm in Jalisco seeks an experienced Data Engineer for a hybrid role. You will design, build, and maintain data systems and pipelines. Candidates must have 6–8 years in relevant projects, strong SQL skills, and experience with data pipeline tools. Excellent communication skills in English are required.

Formación

• 6–8 years supporting Software Engineering, Data Engineering, or Data Analytics projects.
• 2+ years leading a team supporting data-related projects.
• Strong proficiency in SQL and experience with relational databases.
• Experience with data pipeline tools like Apache Airflow.
• Proficiency with at least one programming language (Python, Java, Scala).

Responsabilidades

• Design and implement tailored data solutions for streaming and analytics.
• Produce production-ready code prioritizing performance and security.
• Deliver detailed presentations to communicate technical concepts.
• Ensure data quality, consistency, and governance across multiple sources.

Conocimientos

SQL proficiency

Data pipeline tools (Apache Airflow, Luigi, Prefect)

Programming languages (Python, Java, Scala)

Cloud platforms (AWS, Azure, GCP)

Data modeling

Communication skills

Herramientas

PostgreSQL

MySQL

SQL Server

Descripción del empleo

Data Engineer (Hybrid‑Gdl) – Arc GDL, Jalisco, Mexico.

NTT DATA seeks an experienced Data Engineer to design, build, and maintain data systems and pipelines in a hybrid on‑site/hybrid role.

Key Responsibilities

• Design and implement tailored data solutions for streaming, data lakes, analytics, and beyond within a dynamic technical stack.
• Recommend appropriate technologies and solutions covering the entire stack from application layer to infrastructure.
• Produce production‑ready code prioritizing performance, security, scalability, and robust data integrations.
• Collaborate seamlessly across diverse technical stacks.
• Deliver detailed presentations to communicate complex technical concepts.
• Generate comprehensive solution documentation (sequence diagrams, class hierarchies, logical system views, etc).
• Adhere to Agile practices in solution development.
• Design, build, and deploy databases and data stores to support organizational requirements.
• Ensure data quality, consistency, and governance across multiple sources.

Requirements

• 6–8 years supporting Software Engineering, Data Engineering, or Data Analytics projects.
• 2+ years leading a team supporting data‑related projects to develop end‑to‑end technical solutions.
• Strong proficiency in SQL and experience with relational databases (PostgreSQL, MySQL, SQL Server).
• Experience with data pipeline tools (Apache Airflow, Luigi, Prefect).
• Proficiency with at least one programming language (Python, Java, or Scala).
• Experience with cloud platforms (AWS, Azure, or GCP) and their data services (Redshift, BigQuery, Snowflake, Databricks).
• Familiarity with data modeling, warehousing, and schema design.
• Understanding of data governance, privacy, and security best practices.

Preferred Skills

• Demonstrated production experience in core data platforms.
• Strong understanding of data integration technologies.
• Professional written and verbal communication skills to convey complex technical concepts.
• Knowledge of infrastructure‑as‑code tools.
• Experience with streaming technologies (Kafka, Kinesis, etc).
• Exposure to machine learning data pipelines.

Hybrid – work onsite in GDL office.

Advanced English required.

Job Segment: Cloud, Database, SQL, Developer, Java, Technology.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.