Data Engineer - Azure Job at NTT DATA, Inc., Indiana

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  • NTT DATA, Inc.
  • Indiana

Job Description

Req ID: 336040

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 - Azure to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).

"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 Azure, and Databricks
•    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:
•    5+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 
•    Ability to travel at least 25%. 
Preferred Skills:
•    Demonstrate production experience in core data platforms such as Azure, Databricks
•    Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in Azure data services, ADLS, ADF, Databricks, Data quality, ETL / ELT
•    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: 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 Azure, and Databricks
•    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:
•    5+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 
•    Ability to travel at least 25%. 
Preferred Skills:
•    Demonstrate production experience in core data platforms such as Azure, Databricks
•    Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in Azure data services, ADLS, ADF, Databricks, Data quality, ETL / ELT
•    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,

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 .

Job Tags

Work at office, Remote work, Flexible hours,

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