Data Engineer

18 hours ago

Westlake, United States NTT DATA Americas, Inc Full time
Company Overview:
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 to join our team in Westlake, Texas (US-TX), United States (US).

Job Description: Req ID: 304766

Job Duties:
  • 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.
Basic Qualifications:
  • 7-10+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
  • 3-5+ 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 core data platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud Platform, 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

Minimum Skills Required:
  • 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.
Basic Qualifications:
  • 7-10+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
  • 3-5+ 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 core data platforms such as Snowflake, Databricks, AWS, Azure, Google Cloud Platform, 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

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

NTT DATA endeavors to make 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 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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