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Jobs in Tijuana, Mexiko

Data Engineer (AWS)

NTT DATA

Tijuana
Hybrid
MXN 1.440.000 - 1.801.000
Vor 3 Tagen
Sei unter den ersten Bewerbenden
Ich möchte über neue Stellenangebote in Tijuana benachrichtigt werden.

Payroll Implementation Coordinator

Fresenius Medical Care North America

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MXN 1.080.000 - 1.441.000
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Grupo TECMA

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Vor Ort
MXN 200.000 - 400.000
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Senior iOS Engineer — Medical Device App & SDK Innovator

Insulet

Tijuana
Vor Ort
MXN 1.440.000 - 1.801.000
Vor 3 Tagen
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Senior Software Engineer - iOS

Insulet

Tijuana
Vor Ort
MXN 1.440.000 - 1.801.000
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discover more jobs illustrationEntdecke mehr Stellenangebote als bei herkömmlichen Stellenportalen. Jetzt mehr Stellenangebote entdecken

Manufacturing Engineer I

Haemonetics

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Vor Ort
MXN 400.000 - 600.000
Vor 3 Tagen
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Payroll Implementation Coordinator

Fresenius Medical Care

Tijuana
Hybrid
MXN 1.350.000 - 1.711.000
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Global Payroll Implementation Lead (Fixed-Term)

Fresenius Medical Care

Tijuana
Hybrid
MXN 1.350.000 - 1.711.000
Vor 3 Tagen
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.NET Azure Developer

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MXN 900.000 - 1.261.000
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MXN 50.000 - 200.000
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Entmex Manufacturing S. de R.L. de C.V.

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MXN 200.000 - 400.000
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Lesaffre

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MXN 50.000 - 200.000
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Entmex Manufacturing S. de R.L. de C.V.

Tijuana
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MXN 200.000 - 400.000
Vor 3 Tagen
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Líder de Producción | 5S y Mejora Continua

North American Production Sharing de México, S.A. de C.V.

Tijuana
Vor Ort
MXN 30.000 - 45.000
Vor 3 Tagen
Sei unter den ersten Bewerbenden

Supervisor de Producción

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Administradora de Ventas y CRM | Coordinación Comercial

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Data Engineer (AWS)
NTT DATA
Tijuana
Hybrid
MXN 1.440.000 - 1.801.000
Vollzeit
Vor 3 Tagen
Sei unter den ersten Bewerbenden

Zusammenfassung

A global technology services company in Tijuana is searching for a qualified candidate to design and implement tailored data solutions. The ideal candidate should have over 4 years of experience in Software Engineering or Data Engineering, particularly with AWS. Proficiency in coding using Python, Java, and Scala is essential. The role may involve team leadership and requires travel of at least 25%. This position offers opportunities for remote or hybrid work arrangements depending on client needs.

Leistungen

Flexible work hours
Remote work options

Qualifikationen

  • 4+ years of experience in Software Engineering, Data Engineering, or Data Analytics with AWS.
  • 2+ years of experience leading a team for data projects.
  • Ability to travel at least 25%.

Aufgaben

  • Design and implement tailored data solutions for customer needs.
  • Provide thought leadership on technologies and solutions.
  • Demonstrate proficiency in coding and move solutions into production.
  • Collaborate across diverse technical stacks.
  • Generate comprehensive solution documentation.
  • Adhere to Agile practices in development.
  • Design, build, and deploy databases.

Kenntnisse

AWS
Data Engineering
Python
Java
Scala
Agile Practices
Data Integration Technologies

Ausbildung

Undergraduate or Graduate degree

Tools

PySpark
Snowflake
Databricks
GCP
Azure
Jobbeschreibung
Job Duties: 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, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
  • Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS.
  • 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.
Minimum Skills Required: Basic Qualifications
  • 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects specifically with AWS.
  • 4+ years of experience on at least one of the following: PySpark or Scala or Data lake house solutions on AWS.
  • 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
  • Ability to travel at least 25%.
Preferred Skills
  • Demonstrate production experience in other core data platforms such as Snowflake, Databricks, Azure, GCP, Hadoop, and more.
  • Possess hands‑on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
  • Exhibit a strong understanding of Data integration technologies, encompassing Spark, Kafka, eventing/streaming, Streamsets, NiFi, AWS Data Migration Services, Azure DataFactory, Google DataProc.
  • Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
  • Undergraduate or Graduate degree preferred.
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.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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.

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