Data Engineer

Danfoss • HVAC & Refrigeration • Python • JavaScript • SQL • Power BI • ETL/ELT • SSIS • 3 days ago
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Salary
≈ $15k – $35k per year (Estimated)
Location
In office (Chennai)
Experience
4+ years exp

First seen by Alion on Oct 6, 2026.

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Danfoss

Марката DEVI е част от Danfoss Group, най-голямата индустриална компания в Дания. DEVI е глобален пазарен лидер в електрическото подово отопление и е най-големият производител на електрически отоплителни системи в Европа.
danfoss.com • Chennai • UTC+05:30 • HVAC & Refrigeration • 11-50 employees
Tech stack of Danfoss

Role : Data Engineer (Intermediate Level)

Experience : 4 - 6 years

Location : Chennai

We are seeking a motivated Data Engineer responsible for designing, maintaining, and optimizing SQL databases and end-to-end ETL pipelines using SSIS to support business intelligence and analytics. Candidates should possess experience in SQL, data visualization, scripting, and web development as they pertain to business operations.

Key Responsibilities :

- Develop and maintain SQL databases and scalable data pipelines for analytics.

- Develop and optimize data flows and ETL processes to ensure integrity and availability.

- Work with cross-functional teams to deliver clean datasets for reporting.

- Create Power BI dashboards and reports for stakeholders.

- Implement automation and process improvements using VB Scripting, Python, or similar languages.

- Support web-based data solutions; web development experience (HTML, CSS, JavaScript) is a plus.

- Document data models and workflows for knowledge sharing and scalability.

- Clearly communicate findings and recommendations to both technical and non-technical audiences.

- Stay updated on trends in data engineering, analytics, and visualization tools.

Requirements :

- Bachelor's degree in computer science, IT, Data Science, or related field.

- 4 - 5 years experience with SQL databases, data pipelines, and ETL.

- Strong SQL skills in database design, optimization, and queries.

- Knowledge of data warehousing concepts.

- Strong analytical and problem-solving skills.

- Power BI experience for report and dashboard development and Data modeling.

- Effective communication abilities.

- Self-motivated and committed to ongoing learning.

- Web development knowledge (HTML, CSS, JavaScript, or frameworks).

- Familiarity with cloud-based data solutions and integration tools.

- Background in business intelligence or analytics.

Skills

Data Engineering, Data Pipeline, ETL, SSIS, Data Visualization, Power BI, SQL, Data Warehousing, Business Intelligence, BI Reporting

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