Tech Consultant - Data Engineer

NTT DATA, Inc.; Bengaluru; Hybrid; INR 2,400,000 - 4,200,000; Full time

Job summary

NTT DATA is seeking an experienced Data Engineer in Bengaluru to design, build, and maintain scalable data pipelines and platforms. You will work with Data Architects, Scientists, and analysts to deliver reliable ingestion, transformation, and analytics-ready data across enterprise systems.

The role emphasizes strong Python/SQL skills, ETL/ELT development, and modern data technologies on cloud platforms (AWS/Azure/GCP). Collaboration and CI/CD releases are part of the daily workflow.

Qualifications

• 5+ years of Data Engineering, ETL/ELT development, and enterprise data integration.
• 4+ years of Python, SQL, data transformation, and large-scale data processing.
• 3+ years of AWS, Azure, or Google Cloud-based data services.
• 3+ years of Spark/PySpark, Databricks, Snowflake, or similar modern data platforms.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build data ingestion, transformation, and integration solutions across multiple data sources.
• Develop and optimize complex SQL queries and Python-based data processing solutions.
• Build and maintain data warehouse, data lake, and Lakehouse solutions.
• Develop batch and real-time/streaming data pipelines.
• Implement source-to-target mappings and complex data transformation logic.
• Perform data profiling, cleansing, validation, reconciliation, and quality checks.
• Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
• Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks.
• Collaborate with business and technology teams to understand data requirements and translate them into technical solutions.
• Implement data orchestration, scheduling, monitoring, and alerting.
• Support production data pipelines and perform root cause analysis for critical issues.
• Participate in code reviews, testing, CI/CD deployments, and production releases.
• Maintain data mappings, lineage, technical designs, and operational documentation.

Skills

Python

SQL

ETL/ELT

Data pipelines

Cloud platforms

Tools

Databricks

Snowflake

Spark

PySpark

Airflow

Git

CI/CD

Docker

Kubernetes

Job description

Job Title

Technology Consultant - Data Engineer

Role Summary

We are seeking an experienced Data Engineer to design, develop, and maintain scalable enterprise data pipelines and data platforms. The ideal candidate should have strong hands‑on expertise in Python, SQL, ETL/ELT, cloud data platforms, and modern Data Engineering technologies.

The role will collaborate with Data Architects, Data Scientists, Business Analysts, and application teams to build reliable data ingestion and transformation solutions while ensuring data quality, performance, security, and scalability.

Day to Day Job Duties

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build data ingestion, transformation, and integration solutions across multiple data sources.
• Develop and optimize complex SQL queries and Python-based data processing solutions.
• Build and maintain data warehouse, data lake, and Lakehouse solutions.
• Develop batch and real‑time/streaming data pipelines.
• Implement source-to-target mappings and complex data transformation logic.
• Perform data profiling, cleansing, validation, reconciliation, and quality checks.
• Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
• Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks.
• Collaborate with business and technology teams to understand data requirements and translate them into technical solutions.
• Implement data orchestration, scheduling, monitoring, and alerting.
• Support production data pipelines and perform root cause analysis for critical issues.
• Participate in code reviews, testing, CI/CD deployments, and production releases.
• Maintain data mappings, lineage, technical designs, and operational documentation.

Basic Qualifications

• 5+ years of experience in Data Engineering, ETL/ELT development, and enterprise data integration.
• 4+ years of experience with Python, SQL, data transformation, and large-scale data processing.
• 3+ years of experience with AWS, Azure, or Google Cloud-based data services.
• 3+ years of experience with Spark/PySpark, Databricks, Snowflake, or similar modern data platforms.

Core Technical Skills

• Programming: Python, SQL
• Data Processing: Spark, PySpark
• Data Platforms: Databricks, Snowflake
• ETL/ELT: Data Ingestion, Transformation, Integration
• Cloud: AWS, Azure, or GCP
• Data Architecture: Data Warehouse, Data Lake, Lakehouse
• Orchestration: Airflow, Databricks Workflows or similar
• Streaming: Kafka, Kinesis, Event Hubs or Pub/Sub
• Development: Git, CI/CD, Automated Testing

Nice to Have

• Experience with AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
• Experience with Snowflake, Databricks, Redshift, BigQuery, or Azure Synapse.
• Strong knowledge of data modeling and dimensional modeling.
• Experience with CDC, SCD Type 1/2, schema evolution, and incremental data processing.
• Knowledge of dbt and modern ELT development practices.
• Experience implementing data quality and observability frameworks.
• Understanding of data governance, lineage, metadata management, and security.
• Experience with Docker and Kubernetes.
• Exposure to AI/ML data pipelines, feature engineering, embeddings, or vector data is an advantage.
• Experience working in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise environments.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

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, @nttdatafed.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 .