Data Engineer Advisor
At a glance
Mid-level Data Engineering role at NTT DATA. Bangalore.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain Talend workflows and pipelines that move data from source systems into Snowflake
- Write complex SQL transformations and check incoming data against source-to-target mappings
- Investigate failed jobs, production incidents and data mismatches, then improve performance and recovery
- Join design reviews, code reviews, testing and releases with technical and business colleagues
- Keep technical documentation current and help transfer knowledge across the team
What you bring
- Hands-on Talend ETL development experience is required
- You have solid experience using Snowflake for warehousing and data integration
- Strong SQL skills, including joins, aggregations and complex transformations
- You understand data modeling, warehouse concepts, ETL/ELT patterns and data quality validation
Who this fits
This mid-level role suits an experienced ETL developer comfortable with production support and performance tuning. Six to ten years of experience is preferred, with flexibility based on relevant hands-on expertise.
From the employer
Role: Senior ETL Developer
Team/Project: TMK
Core Technologies: Talend, Snowflake, SQL
Experience: 6–10 years preferred, depending on relevant hands-on expertise
Role Overview
We are looking for an experienced Senior ETL Developer to join the TMK team. The candidate will be responsible for designing, developing, maintaining, and optimizing ETL workflows and data integration solutions using Talend and Snowflake.
The individual will work closely with David and other technical and business stakeholders to deliver reliable, scalable, and high-quality data solutions.
Key Responsibilities
- Design, develop, test, and maintain ETL workflows using Talend.
- Develop and maintain data pipelines integrating multiple source systems with Snowflake.
- Write and optimize complex SQL queries, transformations, and data processing logic.
- Implement source-to-target mappings, data validation, reconciliation, and data quality checks.
- Work with Snowflake databases, schemas, tables, views, and data loading processes.
- Troubleshoot ETL failures, data discrepancies, and production incidents.
- Optimize Talend jobs and Snowflake queries for performance and cost efficiency.
- Implement error handling, logging, monitoring, and recovery mechanisms.
- Collaborate closely with David, architects, business analysts, and other development teams.
- Participate in technical design discussions, code reviews, testing, deployments, and releases.
- Maintain technical documentation and support knowledge transfer.
- Follow development standards, security guidelines, and change management processes.
Required Technical Skills
- Strong hands-on experience with Talend ETL development.
- Solid experience with Snowflake data warehousing and data integration.
- Strong SQL skills, including complex queries, joins, aggregations, and transformations.
- Understanding of data modelling, ETL/ELT patterns, and data warehouse concepts.
- Experience with data loading, incremental processing, and data quality validation.
- Experience with performance tuning and production support.
- Familiarity with version control, deployment processes, and software development lifecycle practices.
Good-to-Have Skills
- Knowledge of DBT (data build tool) for SQL-based data transformation and analytics engineering.
- Exposure to DBT models, tests, documentation, and dependency management.
- Familiarity with Snowflake optimization techniques and modern cloud data architecture.
- Exposure to CI/CD pipelines and automated testing.
- Experience with job scheduling, monitoring, and workflow orchestration.
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