Tech Consultant - Data Engineer
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 22, 2026. NTT DATA scores A on the Alion truth index.
India T&M Special Bonus:
Req ID: 395198
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 Tech Consultant - Data Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
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
- Data Quality: Validation, Reconciliation, Profiling & Monitoring
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.
- Experience developing high-volume streaming pipelines using Kafka or similar technologies.
- 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.
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