Data Engineer Advisor

NTT DATA North America

Maharashtra

On-site

INR 1,500,000 - 2,500,000

Full time

22 hours ago
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Job summary

NTT DATA is seeking a Data Engineer Advisor to join our Pune team, helping design and implement data solutions from streaming to data lakes. You will lead technical delivery, mentor teammates, and collaborate across stacks including Snowflake, Databricks, and AWS.

You will design scalable data architectures, develop end-to-end pipelines, and communicate complex concepts through clear presentations and documentation. This role emphasizes Agile practices and cross-functional collaboration.

Qualifications

  • 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
  • 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.

Responsibilities

  • Design and implement tailored data solutions spanning streaming to data lakes and analytics.
  • Provide thought leadership on technologies and solutions for end-to-end use cases.
  • Move solutions into production with Python/Java/Scala, prioritizing performance and security.
  • Collaborate across stacks including Cloudera, Databricks, Snowflake, and AWS.
  • Develop and deliver detailed presentations communicating complex concepts.
  • Generate solution documentation including diagrams and system views.
  • Adhere to Agile practices throughout development.
  • Design, build, and deploy databases and data stores to support requirements.

Skills

Data engineering
Leadership experience
Python/Java/Scala
Snowflake/Databricks/Azure

Education

Undergraduate/Graduate degree

Tools

Snowflake
Databricks
Azure

Job description

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,.

We are currently seeking a Data Engineer Advisor to join our team in Pune, Mahārāshtra (IN-MH), India (IN).

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.
Basic Qualifications
  • 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
  • 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
Preferred Skills
  • Demonstrate production experience in core data platforms such as Snowflake, Databricks, Azure.
  • Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
  • Develop and maintain ETL/ELT pipelines, queries, and transformations in Snowflake (and, as needed, Databricks notebooks or jobs) according to agreed design patterns and metadata driven data pipeline frameworks.
  • Implement medallion-layered data structures and reusable components that can be leveraged across multiple data products and domains.
  • Assist in onboarding new data sources, mapping source data to target models, and applying data quality and monitoring rules
  • Participate in daily standups, sprint ceremonies (if applicable), and ad hoc working sessions
  • 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.

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.

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