Data Engineer

NTT DATA; Región Centro; Presencial; MXN 826,000 - 1,195,000; Jornada completa

Descripción de la vacante

A global technology services provider in Jalisco is seeking a Data Engineer to design, build, and maintain systems for data collection and analysis. Responsibilities include developing ETL processes, ensuring data quality, and collaborating with other teams. Candidates should have strong SQL skills, cloud experience, and leadership experience in data projects. This role offers opportunities for career growth and innovative environments.

Formación

• 6 - 8 years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
• 2+ years of experience leading a team supporting data related projects.
• Proficiency with at least one programming language (Python, Java, or Scala).

Responsabilidades

• Design and implement tailored data solutions to meet customer needs.
• Collaborate seamlessly across diverse technical stacks.
• Ensure data quality, consistency and governance across multiple sources.

Conocimientos

SQL

Data Engineering

Data Integration Technologies

Team Leadership

Python

Herramientas

PostgreSQL

Apache Airflow

AWS

Descripción del empleo

Req ID:340436

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer to join our team in GDL, Jalisco (MX-JAL), Mexico (MX).

Data Engineer (Based in Guadalajara)

Data Engineers are responsible for designing, building, and maintaining the systems and processes that collect, store, and analyze data. They are responsible for gathering data from various sources and integrating it into a cohesive system. Responsibilities include design and implement ETL (Extract, Transform, Load) processes to clean and prepare data for analysis. Creating and maintaining databases to store large volumes of data efficiently. Building scalable data pipelines to ensure smooth data flow and accessibility. Working with data scientists, analysts, and other stakeholders to understand data needs and provide solutions. Continuously monitoring data systems and optimizing them for better performance and scalability.

Key Responsibilities

• Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
• Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
• Demonstrate proficiency in coding skills to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
• Collaborate seamlessly across diverse technical stacks
• Develop and deliver detailed presentations to effectively communicate complex technical concepts.
• Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
• Adhere to Agile practices throughout the solution development process.
• 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 of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
• 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Experience with data pipeline tools (e.g., 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 (e.g., Redshift, BigQuery, Snowflake, Databricks).
• Familiarity with data modeling, warehousing, and schema design.
• Understanding of data governance, privacy, and security best practices.

Preferred Skills:

• Demonstrate production experience in core data platforms
• Exhibit a strong understanding of Data integration technologies
• Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
• Knowledge of infrastructure-as-code tools
• Experience with streaming technologies (Kafka, Kinesis, etc)
• Exposure to machine learning data pipelines.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

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