Logo for Vyusoft, Inc.

Data Engineer

Vyusoft, Inc.

Role overview

Qualifications

  • Strong hands-on skills in Databricks, PySpark, and SQL
  • Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines
  • Solid understanding of Delta Lake and Lakehouse architecture
  • Experience with at least one cloud platform (Azure preferred)

Responsibilities

  • Design and build ETL/ELT pipelines using Databricks and PySpark
  • Develop and maintain data models and data warehouse structures
  • Optimize data workflows for performance, scalability, and cost
  • Collaborate with cross-functional teams (Data Science, BI, Product)

Key facts

Hard skills

Other skills

  • Collaboration
  • Problem Solving

About the company

Vyusoft, Inc. logo

Vyusoft, Inc.

IT Services & IT Consulting

We Vyusoft is a research-led, innovation-centric technology enterprise dedicated to building next-generation digital ecosystems for global businesses. With deep roots in enterprise software engineering, AI-first automation, and scalable platform architecture, Vyusoft empowers industries to accelerate digital transformation, streamline operations, and unlock long-term strategic value. Operating at the confluence of intelligent systems and agile execution, We deliver tailored technology solutions that enhance decision-making, operational efficiency, and customer engagement across sectors. Our commitment to innovation is spearheaded by our in-house research division Vyu Research which continuously explores frontier technologies such as artificial intelligence, autonomous systems, decentralized architecture, and real-time financial infrastructure.

Company details

IndustryIT Services & IT Consulting
Company size11 - 50

Links

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Job description

This is a remote position.

We are looking for a Data Engineer with strong experience in Databricks, PySpark, and modern Data Warehouse systems. The ideal candidate can design, build, and optimize scalable data pipelines and work closely with analytics, product, and engineering teams.

Requirements

  • Strong hands-on skills in Databricks, PySpark, and SQL
  • Experience with data warehouse concepts, ETL frameworks, batch/streaming pipelines
  • Solid understanding of Delta Lake and Lakehouse architecture
  • Experience with at least one cloud platform (Azure preferred)
  • Experience with workflow orchestration tools (Airflow, ADF, Prefect, etc.)





Roles and Responsibilities

• Design and build ETL/ELT pipelines using Databricks and PySpark
• Develop and maintain data models and data warehouse structures
• Optimize data workflows for performance, scalability, and cost
• Work with cloud platforms (Azure/AWS/GCP) for storage, compute, and orchestration
• Ensure data quality, reliability, and security across pipelines
• Collaborate with cross-functional teams (Data Science, BI, Product)
• Write clean, reusable code and follow engineering best practices
• Troubleshoot issues in production data pipelines
Salary: 24000

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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