Data Engineer (AWS) at NTT DATA

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

22 May, 26

Salary

0.0

Posted On

21 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, Scala, AWS, Cloudera, Databricks, Snowflake, PySpark, Data Lake House, Agile, Data Integration, Streaming, NoSQL, Kafka, Spark

Industry

IT Services and IT Consulting

Description

Req ID: 354429 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 business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. 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.

Responsibilities

The role involves designing and implementing tailored data solutions, ranging from streaming to data lakes and analytics, while providing thought leadership on appropriate technologies. Responsibilities also include demonstrating proficiency in coding languages like Python, Java, and Scala to deploy solutions prioritizing performance and security.