Data Engineer - Snowflake, AWS & ETL Pipelines

Tata Consultancy Services; Jersey City (NJ); On-site; USD 78,000 - 124,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Dental & Vision Coverage

401K/Retirement Plan

Job summary

Tata Consultancy Services in Jersey City seeks a data engineer/analyst to design and optimize scalable data pipelines. You will ingest data from multiple sources, build cloud-based solutions using AWS, and ensure data quality across transformations.

The role emphasizes SQL proficiency, data modeling, and collaboration with analysts and engineers to deliver reliable data platforms. A strong communication skill set is essential.

Qualifications

• Strong analytical and problem-solving abilities with clear communication.
• Proven experience with data pipelines and ETL/ELT processes.
• Experience designing data models and using SQL for analytics.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Create ingestion frameworks from multiple sources into data platforms.
• Develop cloud-based data solutions using AWS services.
• Maintain data transformation models ensuring quality and performance.
• Automate data workflows with scheduling/orchestration tools.
• Monitor ETL processes for reliability and efficiency.
• Collaborate with stakeholders to translate data needs into scalable solutions.
• Perform data validation, reconciliation, and root-cause analysis.
• Identify trends and opportunities for process improvements.
• Prepare technical documentation and status updates for audiences.

Skills

Analytical thinking

Problem solving

Communication

Presentation skills

Team collaboration

Education

Bachelor of Computer Application

Tools

Snowflake

DBT

ETL tools

Workflow scheduling

Job description

Tata Consultancy Services in Jersey City seeks a data engineer/analyst to design and optimize scalable data pipelines. You will ingest data from multiple sources, build cloud-based solutions using AWS, and ensure data quality across transformations.

The role emphasizes SQL proficiency, data modeling, and collaboration with analysts and engineers to deliver reliable data platforms. A strong communication skill set is essential.