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Req ID:
345681
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 (AWS) to join our team in Guadalajara, México (MX-MEX), Mexico (MX).
"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
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 and email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,
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