> Markdown version of [/jobs/ext/4584909-data-engineer](https://www.wearedevelopers.com/jobs/ext/4584909-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Tata Consultancy Services Limited - **Location:** Jersey City, NJ, United States - **Salary:** $78,000.0 - $124,000.0 - **Contract:** Permanent contract - **Skills:** Amazon S3, Software Applications, Batch Processing, Data Validation, Extract Transform Load (ETL), SQL Databases, Workflow Management Systems, Enterprise Data Management, Data Ingestion, Snowflake, AWS Lambda, AWS Glue, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://diversityjobs.com/career/18843984/Data-Engineer-New-Jersey-Jersey-City ## About the Role Hands-on experience with Snowflake, DBT, ETL tools, and workflow scheduling/orchestration tools. Strong knowledge of AWS S3, AWS Glue, and AWS Lambda. Proficiency in SQL and data modeling concepts. Excellent analytical, problem-solving, communication, and presentation skills. Ability to work effectively in a fast-paced, collaborative environment., BACHELOR OF COMPUTER APPLICATION ## Description Design, develop, and maintain scalable data pipelines using Snowflake, DBT, and ETL technologies. Build and optimize data ingestion frameworks from multiple sources into enterprise data platforms. Develop and manage cloud-based data solutions using AWS S3, AWS Glue, and AWS Lambda. Create and maintain data transformation models, ensuring data quality, integrity, and performance. Utilize scheduling and orchestration tools to automate data workflows and batch processing jobs. Monitor, troubleshoot, and optimize ETL processes and data pipelines for reliability and efficiency. Collaborate with business stakeholders, analysts, and engineering teams to understand data requirements and deliver scalable solutions. Perform data validation, reconciliation, and root cause analysis to resolve data-related issues. Apply strong analytical skills to identify trends, patterns, and opportunities for process improvement. Prepare and deliver technical documentation, presentations, and status updates to technical and non-technical audiences.