Data Engineer - MS SQL Server, SSIS, ETL, Python, Power BI and Tableau

Vibgyor USA Inc; Jersey City (NJ); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Data Engineer to modernize their analytical reporting platform. This full-time role involves designing enterprise data models, engineering ETL frameworks, and requires extensive experience with SQL Server, SSIS, and Python. Join to contribute to building a state-of-the-art data platform.

Qualifications

• 10+ years experience as a lead Data Engineer.
• Strong expertise in MS SQL Server, SSIS, ETL, and Python required.
• Hands-on experience with Power BI and Tableau reporting tools.

Responsibilities

• Modernize the WIM Analytical Reporting Platform and consolidate legacy systems.
• Design and build enterprise-scale data models and pipelines.
• Engineer modern ETL frameworks and data lake solutions.

Skills

MS SQL Server

SSIS

ETL

Python

Power BI

Tableau

Job description

Data Engineer - MS SQL Server, SSIS, ETL, Python, Power BI and Tableau

Data Engineer - MS SQL Server, SSIS, ETL, Python, Power BI and Tableau

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Position: Data Engineer - MS SQL Server, SSIS, ETL, Python, Power BI and Tableau

Location: Jersey City, NJ (Remote) - Candidate should be local to NJ

Duration: Permanent Role

Job Description

• 10+ Years Lead Data Engineer to modernize the WIM Analytical Reporting Platform and consolidate legacy systems.
• Design and build enterprise-scale data models and pipelines.
• Engineer modern ETL frameworks, orchestration, and data lake solutions.
• Refactor legacy SQL Server/MS Access-based systems.
• Develop semantic and virtualized data layers for reuse and scalability.
• Strong expertise in MS SQL Server, SSIS, ETL, and Python required.
• Hands-on experience with Power BI and Tableau reporting tools.
• Design scalable physical data models for analytical workloads.
• Lead Engineers must drive best practices and full-solution architecture.
• Senior Engineers must excel in robust, efficient pipeline execution.
• Join us in building a modern, future-ready data platform.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Banking and Investment Banking

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