Data Engineer

Req ID: 373352

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 Remote, Karnātaka (IN-KA), 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. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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