Tech Consultant - Data Engineer

NTT DATA, Inc.; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

NTT DATA is seeking a Tech Consultant - Data Engineer in Pune, India to design, develop, and maintain scalable Snowflake-based data pipelines and ELT workflows. The role requires 3.5+ years of hands-on experience with Snowflake, SQL, PL/SQL, and data ingestion, transformation, and quality practices.

You will collaborate with Data Architects, analysts, and reporting teams to deliver reliable data solutions for large-scale analytics and reporting needs, while following Agile/Scrum practices and

Qualifications

• 3+ years of experience in Data Engineering, ETL/ELT development, and enterprise data integration.
• 2+ years of hands-on experience with Snowflake, SQL, and large-scale data processing.
• 2+ years of experience developing SQL/PL-SQL-based data ingestion and transformation processes.
• 2+ years of experience with data warehousing, data modeling, source-to-target mapping, and data-quality validation.

Responsibilities

• Design, develop, and maintain scalable Snowflake-based data pipelines and ELT workflows.
• Develop complex SQL and PL/SQL scripts for data ingestion, transformation, validation, and processing.
• Build and optimize data ingestion processes for large-volume structured and semi-structured datasets.
• Develop Snowflake tables, views, stored procedures, functions, and data transformation logic.
• Design and implement source-to-target mappings and transformation rules.
• .Perform data profiling, cleansing, validation, reconciliation, and quality checks.
• Optimize Snowflake queries, warehouse utilization, and data processing performance.
• Troubleshoot data pipeline failures, performance issues, and data-quality problems.
• Develop incremental data-loading and transformation processes.
• Collaborate with Data Architects and business teams to translate data requirements into technical solutions.
• Support data warehouse and enterprise reporting solutions.
• Participate in code reviews, testing, deployments, and production support activities.
• Implement monitoring and operational controls for data pipelines.
• Maintain technical design, data mapping, lineage, and operational documentation.
• Follow Agile/Scrum and Data Engineering best practices.

Skills

Snowflake

SQL

PL/SQL

ETL/ELT

Data Ingestion

Data Transformation

Data Integration

Data Modeling

Dimensional Modeling

AGILE/SCRUM

Tools

Snowpipe

Airflow

dbt

Informatica

Talend

DataStage

Job description

India T&M Special Bonus:

Req ID: 393115

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.

We are currently seeking a Tech Consultant - Data Engineer to join our team in Pune, Mahārāshtra (IN-MH), India (IN).

Job Title: Technology Consultant – Data Engineer

Role Summary

We are seeking an experienced Data Engineer with 3.5+ years of hands-on experience designing, developing, and maintaining scalable data pipelines and ELT solutions. The ideal candidate should have strong expertise in Snowflake, SQL, PL/SQL, data ingestion, data transformation, and performance optimization.

The role will collaborate with Data Architects, Business Analysts, reporting teams, and application teams to build reliable and high-performing data solutions supporting large-scale data processing, analytics, and reporting requirements.

Day To Day Job Duties

• Design, develop, and maintain scalable Snowflake-based data pipelines and ELT workflows.
• Develop complex SQL and PL/SQL scripts for data ingestion, transformation, validation, and processing.
• Build and optimize data ingestion processes for large-volume structured and semi-structured datasets.
• Develop Snowflake tables, views, stored procedures, functions, and data transformation logic.
• Design and implement source-to-target mappings and transformation rules.
• Perform data profiling, cleansing, validation, reconciliation, and quality checks.
• Optimize Snowflake queries, warehouse utilization, and data processing performance.
• Troubleshoot data pipeline failures, performance issues, and data-quality problems.
• Develop incremental data-loading and transformation processes.
• Collaborate with Data Architects and business teams to translate data requirements into technical solutions.
• Support data warehouse and enterprise reporting solutions.
• Participate in code reviews, testing, deployments, and production support activities.
• Implement monitoring and operational controls for data pipelines.
• Maintain technical design, data mapping, lineage, and operational documentation.
• Follow Agile/Scrum and Data Engineering best practices.

Basic Qualifications

• 3+ years of experience in Data Engineering, ETL/ELT development, and enterprise data integration.
• 2+ years of hands-on experience with Snowflake, SQL, and large-scale data processing.
• 2+ years of experience developing SQL/PL-SQL-based data ingestion and transformation processes.
• 2+ years of experience with data warehousing, data modeling, source-to-target mapping, and data-quality validation.

Core Technical Skills

• Cloud Data Platform: Snowflake
• Programming/Querying: SQL, PL/SQL
• Data Engineering: ETL/ELT, Data Ingestion, Transformation, Data Integration
• Snowflake: Warehouses, Tables, Views, Stored Procedures, Streams & Tasks
• Data Warehouse: Dimensional Modeling, Fact/Dimension Tables, Data Marts
• Data Quality: Validation, Reconciliation, Profiling
• Performance: Query Optimization, Performance Tuning, Warehouse Optimization
• Development: Git, CI/CD, Code Reviews
• Methodology: Agile, Scrum

Nice to Have

• Experience with Snowpipe, Streams, Tasks, Dynamic Tables, and Time Travel.
• Knowledge of Python for data processing and automation.
• Experience with dbt, Informatica, Talend, DataStage, or similar ETL/ELT technologies.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of cloud storage such as AWS S3 or Azure Data Lake Storage.
• Experience with Airflow or other workflow orchestration tools.
• Understanding of CDC, SCD Type 1/2, schema evolution, and incremental data processing.
• Experience working with structured and semi-structured data such as JSON, XML, or Parquet.
• Knowledge of data governance, lineage, metadata management, and security.
• Experience supporting BI/reporting platforms such as Power BI, Tableau, or Qlik.
• Snowflake certification is preferred.
• 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 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.