Data Engineer

Req ID: 355694 

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 Bangalore, Karnātaka (IN-KA), India (IN).

Role: Data Engineer

Overview -
Data Engineer is responsible for designing, developing, and leading the implementation of an enterprise data platform. This role focuses on building data ingestion pipelines, data cleansing and transformation logic, analytics environments, and optimized data storage solutions in a cloud ecosystem. collaborates closely with data architects, analytics teams, data owners, and machine learning teams to enable reliable, high-quality, and scalable data solutions across the organization.

Responsibilities -
1. Design and implement scalable, secure, and reusable data architectures aligned with complex business requirements
2. Translate business logic into efficient data models and ETL/ELT processes
3. Define advanced data cleansing and transformation logic to ensure data integrity and consistency
4. Collaborate with data architects on framework design, platform selection, and next-generation data capabilities
5. Design, develop, and optimize data pipelines using cloud-native orchestration and ETL tools (e.g., Azure Synapse, Airflow)
6. Implement advanced analytics processing using platforms such as Azure Databricks
7. Design and manage cloud storage solutions including
7.a.Data Lake / Blob Storage
7.b.Relational and NoSQL databases
7.c.Vector and analytical data stores
8. Ensure scalability, reliability, and performance of data ingestion and storage layers
9. Contribute to the development and operation of CI/CD pipelines for data engineering workflows
10. Support and participate in code reviews and DevOps best practices
11. Assist in the design and maintenance of Data Governance frameworks, including:
11.a. Data cataloging
11.b.Metadata management
11.c.Data quality and compliance processes
12. Collaborate with stakeholders to ensure effective data usage across the organization
13. Proactively identify and resolve complex data processing issues
14. Optimize performance, reliability, and cost efficiency of data pipelines and analytics workloads
15. Implement best practices for performance tuning and mentor team members on optimization techniques
16. Support the Data Architect and Data Engineering Manager in platform evolution
17. Promote best practices, continuous improvement, and engineering excellence within the team

Requirements -
1. Bachelor's degree (Computer Science/Information Technology/Electronics & Communication/ Information Science/Telecommunications)
2. 10+ years of experience in implementing/designing solutions using enterprise based software technologies
3. Good hands-on experience delivering enterprise-scale applications and data engineering
4. Proven experience working in cloud-native and DevOps-driven environments
5. Relevant Experience - Minimum 6+ years
6. Critical thinker and good problem-solver
7. Good oral and written communication skills
8. Good team player, self-starter, and good analytical skills
9. Good understanding about code quality, security standards, and programing best practices

Mandatory Skills (Must-Have)
Cloud & Data Platforms - Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage
Data Engineering - Advanced ETL/ELT design, data modeling, workflow orchestration
Programming - PL\SQL, Python
Storage Technologies - Blob storage, relational databases, NoSQL, vector databases
DevOps - CI/CD for data pipelines, code reviews, automation
Governance & Quality - Data governance frameworks, data quality assurance

Desirable Skills (Good to know and optional)
BI & Analytics - Power BI & similar tools 
Data Quality - Data validation, lineage, metadata management
Automation- Job scheduling and monitoring
Architecture - Scalable data platform design

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.

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