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)

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

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Data Engineer Related jobs

Data Engineer

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.