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Data Engineer (AWS)

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NTT DATA

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Location:
Mexico , Guadalajara

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data Engineer (AWS) role involves designing and implementing data solutions tailored to customer needs, utilizing AWS and programming languages like Python, Java, and Scala. Candidates should have a minimum of 4 years of experience in data engineering or analytics, with a strong understanding of data integration technologies. A degree is preferred, and the role requires collaboration across various technical stacks.

Job Responsibility:

  • 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

Requirements:

  • Minimum 4 years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects specifically with AWS
  • Minimum 4 years of experience on at least one of the following: PySpark or Scala or Data lake house solutions on AWS
  • Minimum 2 years of experience leading a team supporting data related projects to develop end-to-end technical solutions
  • Ability to travel at least 25%
  • Undergraduate or Graduate degree preferred
  • 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

Nice to have:

  • 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
  • Undergraduate or Graduate degree

Additional Information:

Job Posted:
March 04, 2026

Work Type:
Hybrid work
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