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Data Engineer

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NTT DATA

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

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

Requirements:

  • Bachelor's degree (Computer Science/Information Technology/Electronics & Communication/ Information Science/Telecommunications)
  • 10+ years of experience in implementing/designing solutions using enterprise based software technologies
  • Good hands-on experience delivering enterprise-scale applications and data engineering
  • Proven experience working in cloud-native and DevOps-driven environments
  • Relevant Experience - Minimum 6+ years
  • Critical thinker and good problem-solver
  • Good oral and written communication skills
  • Good team player, self-starter, and good analytical skills
  • Good understanding about code quality, security standards, and programing best practices
  • Cloud & Data Platforms - Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage
  • Data Engineering - Advanced ETL/ELT design, data modeling, workflow orchestration
  • Programming - PLSQL, 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

Nice to have:

  • BI & Analytics - Power BI & similar tools
  • Data Quality - Data validation, lineage, metadata management
  • Automation- Job scheduling and monitoring
  • Architecture - Scalable data platform design

Additional Information:

Job Posted:
February 13, 2026

Work Type:
Hybrid work
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