Data Engineer Sr (AWS) Hybrid GDL

NTT DATA, Inc.; Jalisco; Híbrido; MXN 800,000 - 1,000,000; Jornada completa

Descripción de la vacante

A global technology services company in Jalisco seeks a Senior Data Engineer (AWS). This position involves designing and maintaining data systems, optimizing data quality, and implementing solutions across various cloud platforms. Candidates must have 6-8 years in Data Engineering and proficiency in SQL and Python. Join a forward-thinking team committed to innovative data solutions. This hybrid role combines in-office and remote work as needed.

Formación

• 6 – 8 years of experience supporting Data Engineering projects.
• 2+ years experience leading a team on data-related projects.
• Strong coding skills for production efficiency.
• Familiarity with data governance and security best practices.

Responsabilidades

• Design and implement tailored data solutions for customer needs.
• Provide thought leadership on technologies for use cases.
• Ensure data quality and governance across sources.
• Adhere to Agile practices throughout development.

Conocimientos

SQL

Data Engineering

Cloud platforms (AWS)

Python

Data modeling

Herramientas

Apache Airflow

PostgreSQL

MySQL

SQL Server

Descripción del empleo

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.

Hybrid (GDL)

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

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, designing and implementing ETL processes, creating and maintaining databases, building scalable data pipelines, working with data scientists and analysts, and continuously monitoring and optimizing data systems for 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) 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.

#LI-LATAM

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.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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