NTT DATA  Services

Business Consulting - Data Engineer

NTT DATA Services Pune, Maharashtra, India

IT Services and IT Consulting · 10,001+ employees

20 h ago Closes today
data-engineer Senior (5-10 yrs) Full-time India
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About the role

The role involves designing, developing, and implementing scalable Big Data solutions with a focus on Snowflake. You will be responsible for building robust data pipelines, ensuring data quality, and optimizing performance across complex data environments.

What they look for

Snowflake Python Data Engineering Data Warehousing Data Modeling AWS SQL Distributed Systems Data Pipelines CI/CD Terraform Cloud Formation dbt Data Structures Algorithms

Requirements

Candidates should have significant experience in Big Data engineering, specifically with Snowflake and cloud platforms like AWS. Strong analytical skills, proficiency in data modeling, and experience with CI/CD and infrastructure-as-code tools are required.

Full description

Req ID: 371285

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 Business Consulting - Data Engineer to join our team in Pune, Mahārāshtra (IN-MH), India (IN).

Job Title: Senior Engineer in Production Management (Big Data - Snowflake Focused)

The Senior Engineer in Production Management, specializing in Big Data with a focus on Snowflake, will be responsible for the design, development, and overall implementation of robust and scalable data solutions in a complex, critical, and large cross-departmental and multi-disciplinary area. This role is crucial for building robust pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives.

The role requires a comprehensive understanding of various facets of Big Data technologies and how they interact to achieve strategic data objectives. The candidate will apply in-depth understanding of the business impact of data-driven insights and be accountable for the delivery of a full range of end-to-end data engineering projects.

Responsibilities:

  • Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.
  • Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.
  • Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.
  • Perform rigorous unit testing and validation of data pipelines and transformations.
  • Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.

Qualifications:

  • Relevant experience in a critical Big Data engineering role with high business impact, and a strong ability to understand how data solutions deliver business value.
  • Excellent engineering skills with expertise in Snowflake data warehousing.
  • Excellent working knowledge of key computer science concepts, especially as they apply to distributed systems, data structures, and algorithms for large-scale data processing
  • Excellent understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts.
  • Strong debugging and analytical skills: ability to isolate root causes across data pipelines, Snowflake, cloud infrastructure, and data processing layers.
  • Operational experience of designing, deploying, and managing data pipelines and Snowflake solutions at scale, potentially leveraging cloud platforms (AWS) and related services.
  • Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, dbt, etc.) is highly desirable for data platform automation.
  • Degree in computer science/mathematics/physics or related technical subject is desirable.
  • Excellent critical thinking and problem-solving skills with a strong analytical mindset.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills to articulate technical concepts and solutions effectively.

Tech Skills :

Snowflake, Python (Data Engineering), Data Warehousing Concepts, Data Modelling (Dimensional/Relational), Cloud Platforms (AWS), SQL, High Availability Systems (Data)

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.

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